DEV Community: Elias Mwangi

8 Athenian Alternatives Worth Trusting With Your Delivery Data

Elias Mwangi — Thu, 30 Jul 2026 08:30:00 +0000

There's a specific kind of frustration that only happens with engineering tools.

You open a dashboard you've checked every Monday for two years, and the page doesn't load. You refresh—still nothing.

Check the URL, confirm it's correct, and try again.

Then the redirect kicks in: you're on github.com/athenianco, staring at a list of open-source repositories with commit activity trailing off sometime in 2023.

That's what happened to Athenian users.

The Linux Foundation acquired Athenian in November 2023 and the founder had already left.

The commercial product quietly shut down, the domains redirected to a GitHub org, and the engineering analytics platform that had been measuring software delivery for teams at Neo4j, Maze, and TrueLayer simply stopped.

The code still exists. But there's no login screen, no pricing page, no support team, and no vendor to call.

Athenian was deliberate about one thing: it focused on teams and events, not individuals. No individual scorecards.

No productivity scores attached to names. It gave engineering leaders cycle time, pull request analytics, pipeline visibility, and a continuous improvement framework without making developers feel surveilled. That posture was rare when it launched. It's still rare now.

That's what this list is trying to return.

Eight tools ranked not just by feature coverage but also by something Athenian's story made urgent: durability.

A metrics tool that disappears takes your historical data with it, leaving you to rebuild from scratch.

Every tool below is live, actively maintained, and worth trusting for more than a single Monday morning.

1. GitDailies: The One That Keeps the Lights On

The reason GitDailies leads this list isn't that it has the most features. It's so that you can see everything about how it's sold before you ever sign up.

The pricing is on the page: Community at $0, Pro 250 at $49/month, and Max 1000 at $299/month.

The install is a read-only GitHub App you authorise in two clicks, with no deployment pipeline, no connector project, and no engineering hours needed to get started.

A product with a printed price and a public install path is one whose future you can reason about. That matters more after Athenian than it did before.

What you actually get: a daily digest in Slack, email, or Telegram covering PRs opened, merged, and in flight, reviews submitted, commits pushed, and everything sitting idle.

The Metrics Explorer holds five views: Pull Request Trends (including cycle time and PR lifetime), Pull Request Status, Review Trends, Review Status, and DORA Metrics. The DORA four pulls from GitHub Actions workflows or an incoming webhook.

Lead time is measured from the first commit to deploy, or from PR merge to deploy, depending on how your team works.

The alert layer is where GitDailies earns daily use rather than occasional check-ins.

Set a condition: a PR with no review after 48 hours, a deployment workflow failure, or a critical path file modified without a review request.

GitDailies fires an @mention into Slack before the problem has time to compound. That's not a dashboard waiting to be opened. That's a signal that finds you.

Pricing is metered per pull request, not per seat, with unlimited users on every tier. A team that doubles in size doesn't trigger a doubled bill. Every metric view exports to CSV, so your data stays portable whether you stay or leave.

On the no-surveillance question Athenian cared about, GitDailies measures at the team level. There's no composite productivity score, no individual ranking, and no leaderboard. The per-user view is diagnostic, not evaluative.

The honest limit: GitDailies is GitHub-only and reads metadata, not code content. It doesn't judge the quality or substance of a diff. If Athenian's pipeline-level analysis across Jira, CI/CD, and GitHub was the part you relied on, GitDailies covers the GitHub half and nothing more.

Best for: GitHub teams who want delivery metrics, DORA, and stale-PR alerts running today, from a product whose price is on the page and whose install takes five minutes.

2. LinearB: The Deepest Breakdown With Automation Attached

If Athenian's cycle time breakdown was the feature you opened the dashboard for every week, LinearB takes that breakdown further than anything else here.

It decomposes delivery into discrete stages: pickup time, review time, and idle time, each measured separately.

Every number is benchmarked against a dataset of 8.1 million pull requests from 4,800+ engineering organisations.

You see your cycle time. You also see where it ranks against teams building comparable software.

That context changes what the number means and changes the conversation you have with leadership about it.

WorkerB is the piece that goes beyond reporting. It reduces idle time on code reviews by up to 60% by intervening directly on stalled PRs rather than just reporting them, pinging the right reviewer in Slack or Teams while the PR is still warm.

GitStream routes PRs by code expertise, labels them by estimated review time, and can auto-merge low-risk changes. Athenian surfaced where things were slowing down. LinearB surfaces it and acts.

On durability: LinearB is a well-funded vendor with a large customer base, active product development, and a roadmap that ships in public. It's not going to redirect to a GitHub org.

Pricing constraint worth knowing: Essentials is $29 per user per month, billed annually, with a 30-seat minimum. That's a $10,440 annual contract regardless of actual team size.

No free tier exists. A 45-day trial is the entry point. For teams above 30 engineers who want depth and automation, LinearB is a serious, durable platform. For smaller teams, it can become uneconomical.

Best for: Engineering organizations with 30 or more developers who want the deepest cycle-time breakdown, industry benchmarking, and automated PR intervention in one place.

3. Swarmia: Team-Level Accountability With Strong Staying Power

Swarmia is the platform for the team that wants what Athenian gave them, plus a structured way to act on what the data reveals.

The base layer is familiar: DORA metrics, cycle time, PR flow, review turnaround, all pulling from GitHub with no estimation or tagging required.

Jira or Linear connects alongside it for a broader picture, but GitHub alone gives you a complete delivery view.

The layer on top is what distinguishes Swarmia. Working Agreements let a team commit to its own targets: review pickup within a set window, PR size under a threshold.

Swarmia tracks the team against those commitments in Slack or Teams and nudges when they slip.

Swarmia added AI impact tracking, detecting PRs assisted by GitHub Copilot, Cursor, and Claude Code, and correlating them with cycle time and throughput data.

That's active product development. It's also the signal of a vendor that's building forward, not coasting.

Compliance worth knowing if your organization needs it: SOC 2 Type 2 certified, data stored physically in Frankfurt, Germany. A bonus for regulated industries, putting Swarmia ahead of most alternatives on that axis.

It’s free for companies with under 10 developers. Paid tiers start around €20 per developer per month.

Best for: Teams who want delivery metrics with an optional team accountability layer, developer experience signals, and a vendor with clear momentum.

4. Sleuth: When Deployment Accuracy Is the Priority

Most DORA tools infer deployments from Git events. Sleuth actually models them.

From issue creation to production deployments and rollbacks, Sleuth tracks the entire cycle.

It links every commit, pull request, issue, and author to the release they went into, automatically detects rollbacks, and integrates natively with PagerDuty and Opsgenie to fold real incident data into Change Failure Rate and mean time to restore calculations.

For a team running a complex multi-environment pipeline, that depth is genuinely different from what most delivery tools offer.

Sleuth is free for up to 10 developers. The team plan is $25 per developer per month and adds advanced DORA metrics, incident tracking, multiple environments, and Slack notifications.

One durability signal worth naming: Sleuth was acquired in late 2024 and has shipped fewer standalone features in 2025 than in previous years.

DORA is still actively sold and supported. But a team that just watched one tool lose vendor focus has good reason to ask whether Sleuth's deployment analytics remain the main product or whether they're now a feature in a larger platform.

Best for: Teams running multi-environment deployment pipelines who need the most accurate DORA calculations available and care specifically about deployment tracking and incident correlation.

5. Waydev: Multi-Quarter Trends for the Long View

Athenian was built around continuous improvement over time, not just weekly snapshots. Waydev is the tool on this list that takes that long-horizon view most seriously.

Where most tools answer, "What's stuck today?" Waydev answers, "Is the team improving quarter over quarter?"

It maintains long-term data retention and reports on delivery, throughput, and AI adoption trends across many quarters.

For an engineering leader who needs to show leadership that the changes they made six months ago actually moved the numbers, retention matters.

Waydev analyses codebases, pull requests, CI/CD activity, and calendar data to give engineering leaders visibility into team productivity without requiring developers to manually input data.

It connects across GitHub, GitLab, Bitbucket, Jira, Azure DevOps, and more.

Pricing is public: Pro at $29 per active contributor per month and Premium at $49, both billed annually. Active contributor pricing means inactive developers that month don't appear on the bill.

One flag: Waydev includes individual contributor views. The vendor frames these as self-tracking tools rather than manager-facing metrics, but the surface is there.

Teams that valued the Athenian's deliberate no-surveillance posture should go in aware and ask specifically how those views are configured for their organization.

Best for: Engineering leaders who want multi-quarter trend analysis and AI adoption tracking with transparent, self-serve pricing.

6. Hatica: DORA Inside a Broader Developer Experience Suite

Hatica belongs on this list because it genuinely covers what Athenian covered: DORA, cycle time, PR analytics, and team-level delivery visibility. Teams using Hatica have reported up to a 50% reduction in cycle time and up to a 40% increase in maker time.

What it adds beyond Athenian's scope is developer experience signals: maker-time tracking, focus data, async standups, and wellbeing metrics.

Whether that's a feature or extra complexity depends entirely on what your team came to Athenian for.

If delivery metrics were the whole need, Hatica is a good product with rooms you'll never open. If broader team health visibility is now on the agenda, those rooms are the reason to choose it.

On cost, Hatica is one of the more accessible options here. The free plan covers unlimited members with a one-month history window.

Paid tiers run $19 per member per month for Pro and $29 for Business. It's a live, actively developed product with a real roadmap. No acquisition redirect waiting to happen.

Best for: Teams who want delivery metrics plus developer experience signals (focus time, meeting load, and wellbeing) from a single hosted platform with a generous free plan.

7. Middleware: The Open-Source Option You Actually Control

Middleware inverts the vendor trust problem entirely. Instead of relying on a company to keep the product alive, you run it yourself.

It's Apache 2.0 licensed and ships with all four DORA metrics pre-configured and benchmarked against industry standards.

The PR stage breakdown adds response time, rework time, and merge time on top of the DORA core: the same decomposition that makes "our cycle time is slow" into "review pickup is where time is being lost." That specificity is what makes for a productive team conversation rather than a vague one.

The durability argument here is structural. A tool running on your own infrastructure can't be acquired and redirected.

The license is irrevocable. No vendor decision affects your dashboards. Middleware is also SOC 2 certified, which matters if data residency is part of your evaluation.

The trade is operational: you stand up and maintain the Docker container, the database, and whatever infrastructure it runs on. The hosted cloud option costs $39 per user per month, billed annually, which shifts the maintenance burden off your team but reintroduces per-seat pricing.

Best for: Teams with platform engineering capacity who want focused DORA metrics, a PR-stage breakdown, and full data ownership without a vendor relationship.

8. Apache DevLake: The Most Durable Option on This List

After Athenian, the most honest durability question is, "What's the one tool a company can never shut down?

Apache DevLake. It's Apache 2.0, self-hosted, completely free, and the code is yours to run for as long as you want.

It's the only major engineering analytics option that gives teams complete ownership over how their metrics are computed and stored.
No vendor can acquire it, redirect the domain, or sunset a feature. You already hold the whole thing.

It ingests from 40+ sources: GitHub, GitLab, Jira, Jenkins, BitBucket, Azure DevOps, PagerDuty, and more.

Pre-built Grafana dashboards cover all four DORA metrics and engineering throughput. Custom SQL lets you build any metric that can be expressed as a query. No seat cap, no repository ceiling.

The operational cost is real: Docker or Kubernetes, a database, Grafana, and ongoing maintenance. DevLake is still in Apache incubation, which means no managed fallback. There's no native Slack digest, so the numbers sit in Grafana until someone opens it.

For a team with platform engineering capacity that never wants to read another acquisition announcement about its metrics tool, DevLake is the answer. The code can't be taken away, because it was never held for you in the first place.

Best for: Engineering organizations with DevOps capacity who want multi-source delivery metrics, complete data ownership, and a tool no vendor can remove.

Find a Reliable Athenian Alternative

The eight tools can be evaluated with three questions. How much of your stack is on GitHub? Do you want to host it yourself or have a vendor host it? And how much platform do you actually need?

If the Athenian experience taught your team anything, it's that a metrics platform is only as durable as the company behind it. Every tool above is actively maintained. All of them have a path you can verify before you commit.

For a GitHub team that wants delivery metrics and DORA back today, GitDailies is the fastest start: public pricing, a read-only install, metrics in Slack by tomorrow morning, and no seat minimum to negotiate.

For teams that want to own the stack outright and never worry about vendor decisions again, Apache DevLake is the answer. For everyone in between, the table above cleanly maps the choice.

FAQs

What actually happened to Athenian?

The Linux Foundation acquired Athenian in November 2023. The founder had already left before that.

The commercial product shut down after the acquisition, and the domains now redirect to the GitHub organization GitHub.com/athenianco.

What remains is open-source code with minimal active maintenance. In theory, a team could clone it and host it themselves. In practice, there's no support, no documentation for current use cases, and no vendor standing behind it. As a commercial product, it's gone.

How do I avoid picking a tool that disappears again?

Three signals are worth checking before you commit.

First, is the pricing public? A number on the page signals a real product being actively sold, not a sales-led process that could go quiet at any time.

Second, is there visible product momentum? Recent releases, a public changelog, or active G2 reviews all show a product being developed forward.

Third, is there a data export? GitDailies exports every metric view to CSV. Apache DevLake and Middleware give you the data outright because you host it yourself.

Portable data means you're not rebuilding from zero if the vendor situation changes.

Which tool comes closest to what Athenian offered?

For delivery metrics and DORA at the team level without individual scorecards: GitDailies covers that cleanly for GitHub teams, and Swarmia adds the multi-tool picture if your org runs Jira or Linear alongside GitHub.

For the pipeline-level depth across CI/CD and incident data that Athenian offered, Sleuth covers the deployment end most thoroughly. LinearB covers cycle-time decomposition most thoroughly. None of them is Athenian. But all of them are still running.

7 Faros AI Alternatives That Actually Fit How Your Team Works

Elias Mwangi — Wed, 29 Jul 2026 09:00:00 +0000

Some tools are built for the problem you have.

Some are built for a problem three organizational layers above you.
Faros AI is often the second one.

That's not a criticism. Faros is one of the most technically ambitious platforms in engineering intelligence.

It unifies data from 100+ engineering systems across source control, task management, incident management, CI/CD, and HR systems, infers connections between them, correlates events and identities, and traces changes from idea to production and beyond.

AI Engineering Report, drawn from two years of telemetry across 22,000 developers, is the kind of primary research most vendors outsource to analysts. The product earns its reputation.

But here's who Faros is actually built for.

The honest buyer profile is 500 or more engineers, an internal data team of five or more, a custom-metric culture, enterprise compliance with audit-trail requirements, and the budget already set aside.

If three or more of those don't describe your team, you're running enterprise infrastructure to answer questions a focused tool answers in an afternoon.

The alternatives below are ranked by how well they fit teams that want the delivery signal without the platform. Seven tools, starting with the one that gets you to live metrics fastest.

1. GitDailies: The Antidote to Platform Overload

When the problem with Faros is scope, not capability, the fix isn't a smaller enterprise platform. It's a tool that does the thing you actually came for.

GitDailies installs as a read-only GitHub App. No connector project. No knowledge graph to populate. No deployment pipeline to configure.
Authorize the App, connect your repositories, and the tool reads PR metadata, review timestamps, commit activity, and status checks that already live in your GitHub account.

Your team changes nothing about how they work.

What appears the next morning: a digest in Slack, email, or Telegram covering PRs opened and merged, reviews submitted, and everything in flight.

The Metrics Explorer holds five views: Pull Request Trends, Pull Request Status, Review Trends, Review Status, and DORA Metrics.

The DORA four pulls from GitHub Actions workflows or an incoming webhook. Cycle time, review turnaround, deployment frequency, lead time, change failure rate, and time to restore: all present, all computed from data your team was already generating.

The alerts layer is where it gets operationally useful.

Set a condition: a PR without a review after 48 hours, a workflow failure, a critical file modified without a review request, and GitDailies fires an @mention into Slack before the problem compounds.

That's not a dashboard you check. That's information that finds you.

Pricing is public and per pull request: Community at $0, Pro 250 at $49/month, and Max 1000 at $299/month, with unlimited users on every tier.
No sales conversation, no seat minimum, no year-long commitment required to start.

You can read the full pricing, do the arithmetic for your PR volume, and decide before you ever authorize the App.

The honest limit: GitDailies is GitHub-only. It doesn't integrate incident, project, and AI spend data into a single model. It doesn't trace a feature from a Jira ticket to production deployment across five systems.

If that cross-tool correlation is genuinely what you need, GitDailies doesn't replace it. For the team that doesn't need it, GitDailies returns the delivery signal without the platform it came packaged with.

Best for: GitHub teams who want delivery metrics, DORA, and stale-PR alerts running by tomorrow without wiring together a knowledge graph to get there.

2. LinearB: When You Want the Signal and the Intervention

Faros shows you what's happening across your engineering organization. LinearB shows you what's happening and takes action.

The delivery breakdown is deep: cycle time is split into pickup time, review time, and idle time, benchmarked against a dataset of 8.1 million pull requests from 4,800+ engineering organizations.

You don't just see your lead time. You see where it ranks against teams shipping comparable software. That context makes the number meaningful in a way raw cycle time rarely is.

WorkerB is the piece that sets LinearB apart from most alternatives.
It reduces idle time on code reviews by up to 60% by intervening directly on stalled PRs rather than just reporting them, pinging the right reviewer in Slack or Teams while the PR is still warm.

GitStream, the automation layer, routes PRs by code expertise, labels them by estimated review time, and auto-merges low-risk changes. The tool acts on the data it reads. Faros surfaces an insight. LinearB produces a nudge.

The pricing constraint is real. Essentials runs $30 per developer per month, billed annually, with a 30-seat minimum. That sets a minimum price of $10,800 for the contract, regardless of the actual team size.

No free tier exists. A 45-day trial is the entry point. For teams with 30+ engineers, LinearB is a serious, hosted alternative that lists its price on the page. Below 30, the seat floor is the conversation-ender.

Best for: Engineering organizations with 30 or more developers who want the deepest cycle-time breakdown, industry benchmarking, and automated PR intervention in a single platform.

3. Swarmia: Cross-Tool Visibility Without the Enterprise Contract

Swarmia is the option for teams that want the broader, correlated view that Faros promised, but not the sales cycle or the platform complexity that came with it.

It connects GitHub with Jira or Linear, Slack, and Datadog or PagerDuty into one model across the engineering organization.

That's a bounded version of the cross-tool picture: opinionated, not infinitely extensible, and configured in hours rather than quarters. For a team that found Faros ambitious in exactly the wrong direction, Swarmia's narrower scope is the appeal, not the limitation.

The feature that makes Swarmia genuinely different from a standard metrics dashboard is working agreements.

Teams commit to their own targets: review pickup within a set window, PR size under a threshold.

Swarmia tracks the team against those commitments in Slack or Teams, nudging when they slip. A metric that a team chose to own gets defended. One imposed by the tool tends to get explained away.

Swarmia has lately added AI impact tracking, detecting PRs assisted by GitHub Copilot, Cursor, and Claude Code, and correlating them with cycle time and throughput data.

For engineering leaders trying to demonstrate the ROI of an AI coding tool without running a Faros-scale deployment, that feature closely aligns with the use case.

Swarmia is free for companies with under 10 developers. Paid tiers start around €20 per developer per month.

Best for: Teams who want cross-tool delivery visibility with a team accountability layer, developer experience signals, and serious compliance credentials, without enterprise pricing.

4. Jellyfish: When the Question Is Financial, Not Operational

Faros and Jellyfish are often compared because both are enterprise platforms with no public price and a mandatory demo. The comparison stops there. They answer different questions for different executives.

Faros answers, "How is engineering performing, and what is AI adoption producing?" Jellyfish answers: What did engineering cost, and how do we capitalize it for the balance sheet?

Jellyfish's DevFinOps module automates R&D cost capitalization and reporting, giving finance teams accurate, audit-ready insights into engineering spend without manual time tracking.

Roughly 57% of publicly traded US software companies capitalize some portion of their R&D spend for tax and profitability benefits.

Doing that accurately across a large engineering organization in a way that survives an audit is not something a delivery metrics tool handles. Jellyfish holds SOC 1 Type II alongside SOC 2 Type II: the financial auditor's attestation, not just the security one.

Average Jellyfish contract values run around $95,000 annually. The sales cycle isn't friction for the buyer; this serves them. It's the appropriate on-ramp for a platform that a CFO and a VP of engineering are evaluating together.

If you're leaving Faros because the AI adoption ROI tracking wasn't what you needed, and you actually need delivery clarity, Jellyfish isn't your answer either. If you're leaving because the financial reporting was the thing missing, it probably is.

Best for: Engineering leaders at mid-to-large organizations whose primary need is audit-ready R&D cost capitalization and finance-grade engineering investment reporting.

5. Waydev: AI Adoption Trends Without the Enterprise Build

If the specific piece of Faros that caught your attention was AI adoption ROI, and you don't need the rest of the platform to get it, Waydev offers a version of that at a price you can see on their website.

Waydev analyses codebases, pull requests, CI/CD efforts, and calendar data to give engineering leaders visibility into team productivity without requiring developers to manually input data.

It connects across GitHub, GitLab, Azure DevOps, Jira, and Bitbucket, adds AI adoption reporting, and keeps long data retention so multi-quarter trends hold up rather than fall off a short history window.

For a leader drawn to Faros primarily for the long-horizon AI adoption angle, Waydev covers that use case without requiring an enterprise deployment.

Pricing is public: Pro at $29 per active contributor per month and Premium at $49, both billed annually. Active contributor pricing means a developer who was quiet for a month drops off the bill.

One thing to weigh: Waydev includes individual contributor views. The vendor frames these as self-tracking rather than manager-facing scoreboards, but the surface exists.

Teams that valued Faros for its signal-not-surveillance approach should ask specifically how those views are configured before committing.

Best for: Engineering leaders who want AI adoption trends and long-horizon delivery analytics with transparent, self-serve pricing and no enterprise deployment required.

6. Middleware: Focused DORA You Actually Own

Middleware makes a deliberate trade: it does DORA well, nothing more, and it costs nothing if you run it yourself.

It's Apache 2.0 and fully open-source. Deploy it via Docker, connect to GitHub, and four DORA metrics appear preconfigured and benchmarked against industry standards. The PR stage breakdown adds response time, rework time, and merge time on top of the DORA four, turning "our cycle time is slow" into "review pickup is the specific bottleneck." That distinction drives different conversations.

For teams who found Faros valuable but objected to having a vendor hold the data and the contract, Middleware inverts both. The data stays inside your infrastructure. The license is irrevocable. No vendor can reprice you or sunset a feature you depend on.

The trade is operational. You set up the container, you maintain it, and you own the on-call when it breaks.

The hosted cloud option costs $39 per user per month, billed annually, but that reintroduces per-seat pricing. There's no native Slack digest in either case: the numbers wait in a dashboard someone opens, rather than arriving in the team's channel.

Best for: Teams with platform engineering capacity who want focused DORA with full data ownership and no vendor dependency.

7. Apache DevLake: The Open-Source Knowledge Graph You Run Yourself

Every tool above, including GitDailies, is built around one or a few data sources. DevLake is the only alternative here that attempts what Faros does: pulling many data sources into a single unified model. The key difference is who runs it.

Apache 2.0, completely free, self-hosted. It ingests data from 40+ sources, including GitHub, GitLab, Jira, Jenkins, Bitbucket, Azure DevOps, and PagerDuty, and consolidates it into a unified data layer.

Pre-built Grafana dashboards cover DORA and engineering throughput. Custom SQL lets you build any metric you can express as a query: no seat cap, no repository ceiling, and no vendor who can reprice you.

Apache DevLake is the only major engineering analytics option that gives teams complete ownership over how their metrics are computed and stored.

For a platform team that wanted Faros's cross-tool correlation model but objected to the vendor relationship and the undisclosed price, DevLake is the build-it-yourself version of that ambition.

The operational cost is real and identical to Middleware's: Docker or Kubernetes, a database, Grafana, and the ongoing maintenance that comes with all three.

DevLake remains in Apache incubation, which means no managed fallback if something goes wrong. There's no native Slack digest. The numbers sit in Grafana until someone opens it.

For an organization with a platform team already running this kind of infrastructure, DevLake is the most complete data-ownership story on this list. For everyone else, the operational burden is the real cost of free.

Best for: Engineering organizations with platform engineering capacity who want multi-source data correlation, full ownership, and no vendor ceiling on scale.

Choose the Ideal Faros AI Alternative for your Team

The seven tools above split cleanly along two questions. First: do you need cross-tool correlation, or is GitHub your primary source of truth?

Second: Do you want a vendor to host it, or do you want to own the stack?

If the reason you're leaving Faros is that the platform is more than your team asked for, the answer isn't to go with a smaller enterprise platform.
It's a focused tool.

For a GitHub team that wants delivery metrics, DORA, and PR alerts without wiring together a knowledge graph, start with GitDailies: public pricing, read-only install, metrics in Slack by tomorrow morning.

If cross-tool correlation is genuinely the need, DevLake rebuilds it at no license cost on infrastructure you control.

FAQs

Do I actually need a knowledge graph?

Probably not, and the question is worth asking before you evaluate anything.

The honest Faros buyer profile is 500 or more engineers, an internal data team of 5 or more, a custom-metric culture, enterprise compliance requirements, and the budget already allocated.

If that's not you, a knowledge graph is answering a question you're not asking. Most engineering teams need delivery visibility on the tools they actually use, not a correlated model of every system in the organization.

A focused GitHub tool gives you that without the infrastructure.

Why is Faros pricing hard to find?

Faros AI does not publish pricing for the managed enterprise platform. Estimated costs range from $30 to $ 60 per developer per month, according to industry reports.

The Community Edition is free and open-source, but requires self-hosting. For a 50-developer team on the managed platform, the estimated annual cost is $18,000 to $36,000 before implementation and ongoing operations.

Gartner's 2024 Engineering Intelligence market guide explicitly cautions that data lake engineering platforms can require two to three times the buy cost in annual ongoing operations. The number on the invoice is rarely the full number.

Can I measure the ROI of an AI coding tool without Faros?

Yes, though the depth varies by tool. Swarmia's AI impact tracking detects PRs assisted by GitHub Copilot, Cursor, and Claude Code and correlates them with cycle time.

Waydev covers AI adoption trends with longer historical retention. LinearB's cycle-time breakdown shows whether AI-assisted PRs move through review faster.

None of these traces AI spend to production outcomes the way Faros does across a hundred-system deployment, but for a team that wants directional signal rather than board-level ROI attribution, they're sufficient.

What's the cheapest credible alternative?

Two honest answers.

For a hosted tool, you can start today: GitDailies Community is free, supports unlimited users, and provides daily delivery metrics and partial DORA, with no credit card required.

For a self-hosted tool with no license cost: Apache DevLake and Middleware Community are both free and open-source, with you owning the infrastructure.

Both give reliable delivery metrics. What you give up is Faros's cross-tool correlation and AI attribution depth, not the delivery signal itself.

6 Self-Serve Engineering Metrics Tools You Can Start Using Today

Elias Mwangi — Tue, 28 Jul 2026 13:08:31 +0000

You've done this before.

You find a tool that looks right, click the big button on the landing page, and it says, "Book a Demo."

You book it.

The demo turns out to be a discovery call where someone asks about your stack, your team size, and your budget.

Then they offer to schedule the actual demo with a solutions engineer.
The pricing surfaces on a third call.

Three weeks later, you've sat through four meetings and seen the product once. You still don't know what it costs.

You want to know whether the tool solves your problem before you tell a vendor your company name.

That preference isn't impatience. It's rational.

A tool you can install yourself is a tool you can evaluate honestly, on your own timeline, and uninstall without an awkward conversation.
That's what this piece is about.

Not which tool is cheapest. Not which has the most features.
Specifically, which engineering metrics tools can you buy, configure, and start reading numbers from this afternoon?

Six of them, ranked by how quickly you can go from landing page to live data.

One thing worth saying upfront: self-serve is more common than vendors admit.

Several tools on this list let you sign up without a call.

The genuine contrast is with the two at the bottom, where the sales process is the product experience, and the capabilities behind that process justify it.

1. GitDailies: From Landing Page to Live Metrics in One Click

The primary call to action on GitDailies' landing page is "Install on GitHub. Not "Talk to Sales." Not "Request a Quote."

One click takes you directly to GitHub's app authorization screen.
You approve a read-only App, connect your repositories, and the metrics start building.

No pipeline to configure. No CI hook to wire up. No form to fill in.
GitDailies reads pull request metadata, review timestamps, commit activity, and status checks that already live in your GitHub account. The tool computes everything from what your team already produces.

By tomorrow morning, a digest lands in Slack, email, or Telegram covering PRs opened and merged, reviews submitted, code committed, and everything still in flight.

The Metrics Explorer covers five views: Pull Request Trends, Pull Request Status, Review Trends, Review Status, and DORA Metrics. All four DORA measurements pull from GitHub Actions workflows or a webhook you nominate.
No manual input, no deployment logs to maintain.

The pricing is on the page before you create an account.

Three tiers: Community at $0, Pro 250 at $49/month, and Max 1000 at $299/month.

Metered per pull request, not per seat, with unlimited users on every tier. You can read the full pricing structure, do the arithmetic for your team's PR volume, and decide whether it's worth $49 before you authorize the App.

A "Book a Demo" option does exist. You're never routed through it to access the product or the price. If you want to upgrade from Community to Pro, you do it yourself in the settings. No account manager, no procurement conversation.

Best for: GitHub teams who want delivery metrics, DORA, and PR alerts running today, without sitting through a demo to find out what it costs.

2. Waydev: Transparent Pricing, Broad Analytics

Waydev's landing page also leads with "Start Free," no credit card required. You're on a trial without a mandatory call.

Pricing is public and per active contributor: Pro at $29 per active contributor per month, billed annually; Premium at $49; and Enterprise on a custom quote. You can size the tool for your team on the pricing page before anyone from Waydev knows you exist.

Self-serve isn't GitDailies' private advantage, and Waydev demonstrates it as well as anyone on this list.

Waydev analyses codebases, pull requests, CI/CD efforts, and calendars to give engineering leaders visibility into team productivity without requiring developers to manually input data.

It connects across GitHub, GitLab, Azure DevOps, Jira, and Bitbucket, and adds engineering ROI and AI adoption reporting on top of standard delivery metrics. More than 130 actionable insights across productivity, quality, DevOps performance, and team health.

One thing to go in knowing: Waydev includes individual contributor views. The vendor frames this as self-tracking, but the surface is there, and a manager can read it as a scoreboard. Teams that value a no-leaderboard posture should ask specifically how those views are configured before committing.

Best for: Engineering leaders who want broad delivery and productivity analytics across multiple tools, with transparent pricing and a self-serve signup.

3. GitClear: Public Pricing, No Card Required for the Trial

GitClear's position on pricing transparency is explicit: customers deserve to know what their tools will cost before spending 60 minutes in a sales demo.

Every tier is on the pricing page. The 15-day trial requires no credit card. Starter is free with three repositories and 50 pull requests. Pro is $14.95 per contributor per month on an annual billing plan.

Be precise about the ceiling: Pro is not the top of the range. Elite is $24.95 per contributor per month, and Enterprise is $34.95. The full ladder is visible before you climb onto it, which is the whole point.

What sits behind that frictionless signup is GitClear's Diff Delta, a diff-level analysis of whether code changes are substantive or noise.
It discounts churn, moved code, copy-paste blocks, and mechanical reformats.

A thousand-line reformat doesn't read the same as a thousand lines of new logic.

Most engineering metrics tools, including GitDailies, read metadata rather than diff content. GitClear reads both. That capability normally lives behind a demo and a quote.

GitClear puts it on a public price list and a no-card trial.
Language coverage is the constraint: Diff Delta's deeper analysis works across Ruby, Python, C#, Java, and PHP. Teams on TypeScript, Go, or Rust get less from it. Confirm your stack is supported before signing up.

Best for: Teams who want to measure the substance of what's shipping, not just volume, and want to evaluate that capability without a sales conversation first.

4. Swarmia: Free Under 10 Developers, Self-Serve Signup

Swarmia signs you up without a call. You're automatically enrolled in a free trial when you register, no credit card needed, and companies under 10 developers access the platform for free with no expiry.

The one place it's less transparent than Waydev or GitClear: the exact paid price isn't on a public table you can read before signing up.

The model (per developer per month) is stated openly, but the specific figure is one you meet inside the product as you grow. The signup path is unambiguously self-serve.

What's behind the door is a full engineering intelligence platform with a genuine philosophy. Working Agreements let a team commit to its own targets, review pickups within 4 hours, and keep PR sizes under a threshold. Swarmia tracks the team against those commitments in Slack or Teams.

Compliance credentials worth knowing: SOC 2 Type 2 certified, data stored physically in Frankfurt for EU residency. For regulated industries, those two facts can settle the shortlist on their own.

Best for: Teams under 10 developers who want a serious platform for free, and growing teams who want developer experience signals alongside delivery metrics.

5. LinearB: Self-Serve Trial, But the Purchase Has a Wall

LinearB splits in half on the self-serve question, and both halves are true simultaneously.

The trial half is genuinely self-serve. 45 days, no credit card, no commitment. A small team can start evaluating today without talking to anyone.

The purchase half is not.

Essentials is $29 per user per month, billed annually, with a 30-seat minimum. Enterprise lifts the price to 50 seats at $59 per user.

Here's what that means in practice: a 12-person team can install the trial, use the product for six weeks, decide it's exactly what they need, and then discover they can't buy it.

Not because a demo gate blocked them. Because the checkout requires 30 seats, they don't have that many. That's a different kind of friction from a discovery call, but it lands in the same place.

The tool is strong.

LinearB breaks cycle time into pickup, review, and idle stages and benchmarks against 8.1 million pull requests from 4,800+ engineering organisations.

WorkerB intervenes on stalled PRs rather than just charting them, cutting idle time on code reviews by up to 60%.

For teams with 30+ engineers, the platform is a good option; the trial is a genuine self-serve evaluation path that leads to a real purchase. Below 30, the trial leads to an expensive path you can't pay your way past.

Best for: Engineering organizations with 30 or more developers who want the deepest delivery breakdown and PR automation and can meet the minimum.

6. Jellyfish: Genuinely Sales-Led, Genuinely Warranted

Jellyfish are the honest opposite of everything above.

There's no public price.

Every potential customer must "Request a Quote" or "Talk to Sales" to learn what the platform will actually cost, with no self-serve signup available.

The calls to action are "Request a Quote" and "Talk to Sales." A demo is required.

Jellyfish's DevFinOps module automates R&D cost capitalization and reporting, providing finance teams with accurate, audit-ready insights into engineering spend without manual time tracking.

Roughly 57% of publicly traded software companies in the US capitalise on some portion of their R&D spend, thereby improving profitability and gaining tax advantages. That's finance-grade reporting that no self-serve tool on this list touches.

Average contract values run around $95,000 annually. For an organisation with a procurement department, a security review process, and a CFO who needs engineering costs capitalized correctly, the sales cycle isn't a friction point. It's the admission price for a capability the lighter tools don't attempt.

In September 2025, Atlassian acquired DX for $1 billion. DX (now part of Atlassian) was the other genuinely sales-led option in this space, built around research-backed developer experience surveys and correlation with delivery data.

That acquisition signals where the enterprise end of this market is heading: toward platforms that combine delivery metrics, developer experience, and financial reporting in a single system sold to engineering leadership and finance teams together.

Best for: Organizations with 100 or more developers whose leadership needs R&D capitalization, finance-grade allocation reporting, and a procurement process to match.

Find the Self-serve Engineering Metrics Tool for your Company

The six tools above split cleanly into three buying shapes.

Install today, no conversation needed: GitDailies, GitClear, and Waydev all offer public pricing, no-credit-card trials, and a signup path that doesn't route through a sales team. GitDailies is the fastest to run metrics: one App authorisation, metrics in Slack the next morning.

Self-serve to start; wall at purchase: Swarmia is free for under 10 developers with no time limit, and the paid price kicks in as you grow. LinearB offers a full 45-day trial with no card required, then requires 30 seats to purchase.

Sales-led by design: Jellyfish justifies it with capabilities no self-serve tool offers.

If your team is on GitHub and you want delivery metrics, DORA, and PR alerts without booking anything, install GitDailies and read tomorrow morning's digest. Public price, read-only install, no seat minimum, and the evaluation is entirely yours to run and yours to end.

FAQs

Why does the buying experience matter for a metrics tool?

Because the demo cycle costs time, you're spending on something other than shipping. A tool you can install yourself is also one you can uninstall yourself, which means the evaluation incurs no sunk costs and no vendor relationship to exit.

Self-serve tools are reversible in a way that sales-led contracts aren't. For a team that wants to know whether delivery metrics are useful before committing to them, that reversibility is its own kind of value.

Is self-serve the same as being cheaper?

No, and that's the fork this article is built around. A tool can be expensive and fully self-serve. It can be cheap and require a discovery call.

LinearB is priced higher than GitDailies and has a self-serve trial.
Jellyfish has no public price but justifies its sales process by highlighting capabilities that small teams don't need and that enterprise finance teams do. The buying experience and the price are separate variables.

What does LinearB's seat minimum actually mean in practice?

It means a team of 12 can evaluate the product for 45 days, only to discover they can't purchase it.

The minimum is 30 billable users at $29 per user per month on an annual contract, putting the floor at $10,440 regardless of team size.

Nobody blocked you from the trial. But the checkout requires 30 seats, and if you can't fill them, the product isn't available to you, regardless of how useful the evaluation was.

What does Jellyfish offer that self-serve tools don't?

R&D cost capitalization. Roughly 57% of publicly traded US software companies capitalize some portion of their R&D spend for tax and profitability benefits. Doing that accurately requires tying engineering effort to capitalizable projects in a way that's auditable for finance teams.

No self-serve tool on this list does that. If your CFO needs it, the sales call is the right entry point. If your CFO doesn't need it, Jellyfish is more platform than the job requires.