Contributing to a great open-source library is the best way to establish your portfolio and to join an amazing community.
I've compiled 31 open-source libraries and some good first issues to help boost your journey.
DON'T FORGET TO STAR & SUPPORT THESE 🌟
AI Favorites🦾:
1. CopilotKit - In-app AI chatbots and AI Textareas
Open-source platform for integrating key AI features into react apps using two react components.
CopilotPortal: in-app AI chatbots that can "see" the current app state and take actions.
CopilotTextarea: AI-powered replacement. With autocomplete, insertions and generations.
Gracefully fail if CopilotProvider is omitted
The bug:
Virtually every CopilotKit functionality depends on a CopilotContext provided by the CopilotProvider. e.g. CopilotTextarea autocompletions, chatbot, etc.
However when a CopilotProvider does not wrap the component, functionality fails silently.
To Reproduce
1. Omit <CopilotProvider>...</CopilotProvider>
2. trigger useMakeCopilotReadable, useMakeCopilotActionable, CopilotTextarea, CopilotSidebarUIProvider
3. See how functionality does not work, but no error is emitted
Expected behavior An error is emitted, with clear description of the likely core issue and how to resolve it (namely, wrap the app in a CopilotProvider). Point to docs.
The AI Gateway is designed for fast, reliable & secure routing to 1600+ language, vision, audio, and image models. It is a lightweight, open-source, and enterprise-ready solution that allows you to integrate with any language model in under 2 minutes.
Blazing fast (<1ms latency) with a tiny footprint (122kb)
Battle tested, with over 10B tokens processed everyday
Enterprise-ready with enhanced security, scale, and custom deployments
What can you do with the AI Gateway?
Integrate with any LLM in under 2 minutes - Quickstart
🕹️ Open-source, developer-first LLMOps platform designed to streamline prompt design, version management, instant delivery, collaboration, troubleshooting, observability and more.
Pezzo is a fully cloud-native and open-source LLMOps platform. Seamlessly observe and monitor your AI operations, troubleshoot issues, save up to 90% on costs and latency, collaborate and manage your prompts in one place, and instantly deliver AI changes
In the documentation, you can find information on how to use Pezzo, its architecture, including tutorials and recipes for varius use cases and LLM providers.
As we detailed in our paper and website, the advantages of OpenVoice are three-fold:
1. Accurate Tone Color Cloning.
OpenVoice can accurately clone the reference tone color and generate speech in multiple languages and accents.
2. Flexible Voice Style Control.
OpenVoice enables granular control over voice styles, such as emotion and accent, as well as other style parameters including rhythm, pauses, and intonation.
3. Zero-shot Cross-lingual Voice Cloning.
Neither of the language of the generated speech nor the language of the reference speech needs to be presented in the massive-speaker multi-lingual training dataset.
OpenVoice V2
In April 2024, we released OpenVoice V2, which includes all features in V1 and has:
1. Better Audio Quality.
OpenVoice V2 adopts a different training strategy that delivers better audio quality.
2. Native Multi-lingual Support.
English, Spanish, French, Chinese, Japanese and Korean are natively supported in OpenVoice V2.
🧩 LLM Fundamentals is optional and covers fundamental knowledge about mathematics, Python, and neural networks.
🧑🔬 The LLM Scientist focuses on building the best possible LLMs using the latest techniques.
👷 The LLM Engineer focuses on creating LLM-based applications and deploying them.
Note
Based on this course, I wrote the LLM Engineer's Handbook with Paul Iuzstin. It's a hands-on and detailed book that covers an end-to-end LLM application from design to deployment. The LLM course will always stay free but feel free to support my work by purchasing the book.
For an interactive version of this course, I created an LLM assistant that will answer questions and test your knowledge in a personalized way on HuggingChat or ChatGPT.
Support Array.sort() method
Feature Spec:
let arr: MutArray<num>=[2, 1, 3, 9, 6, 4];
arr.sort();
log("${arr}"); // it should print sorted array in ascending order, eg: [1, 2, 3, 4, 6, 9]
Component:
Wing SDK
Community Notes:
If you are interested to work on this issue, please leave a comment. If this issue is labeled needs-discussion, it means the spec has not been finalized yet. Please reach out on the #dev channel in the Wing Slack.
StackQL provides a unique SQL-based framework to manage and query cloud resources and APIs across different providers like Google, AWS, Azure, and more.
It simplifies cloud operations by allowing SQL-like commands for provisioning and operating cloud services.
This makes StackQL a versatile tool for cloud resource management and interaction, especially for those familiar with SQL.
Add unit testing to package writer
Add unit testing for internal/stackql/writer .
Description:
add implementation for testing sql_writer.go
modify sql_writer.go by adding function for dependency injection
add implementation for testing generic.go
modify generic.go by adding variable for patching GetDB function
modify entryutil.go to adjust sql_writer.go
Appwrite is an all-in-one development platform for Web, Mobile, and Flutter applications. Use built-in backend infrastructure and web hosting, all from a single place. Built with the open source community and optimized for developer experience in the coding languages you love.
Appwrite is an end-to-end platform for building Web, Mobile, Native, or Backend apps, packaged as a set of Docker microservices. It includes both a backend server and a fully integrated hosting solution for deploying static and server-side rendered frontends. Appwrite abstracts the complexity and repetitiveness required to build modern apps from scratch and allows you to build secure, full-stack applications faster.
Using Appwrite, you can easily integrate your app with user authentication and multiple sign-in methods, a database for storing and querying…
Required: Make sure that you have Python 3.10+ installed.
Install the base package:
pip install superduper-framework >= 0.7.0
Install a plugin for your databackend:
# at least one or more of the following:
pip install superduper-mongodb >= 0.7.0
# or
pip install superduper-sql >= 0.7.0
# or
pip install superduper-snowflake >= 0.7.0
# or
pip install superduper-redis >= 0.7.0
Install additional plugins for your use-case (optional):
Help out with Manual Testing of Firecamp
Responsibilities:
Executing test cases and reporting results
Logging bugs and issues in the Github issue tracker
Providing feedback on usability and the testing process
Suggesting improvements to tests and expanding test coverage.
Benefits
Benefits for your testing profile and career:
Experience testing a real-world open source application
Each release will include your name with bugs fixes.
Exposure to different types of testing such as UI, API, integration, etc
Opportunity to have your contributions and feedback incorporated into the product
Collaborating with an open source community
Having your testing work visible to potential employers
Firecamp Swags (T-shirts and stickers)
Community shoutout and promotion
Odigos is an open-source distributed tracing solution that simplifies and improves observability for Kubernetes environments and Virtual Machines. It provides instant tracing capabilities without requiring any code changes to your applications.
Odigos empowers platform engineers, DevOps professionals, and SREs to enhance their observability strategies quickly and effectively. It is an ideal solution for modern cloud-native environments, combining simplicity, performance, and industry expertise.
Why choose Odigos?
Simplicity : Implement distributed tracing with minimal effort and complexity.
Performance : Separates data recording and processing to minimize runtime impact.
Community-Backed : With 3,000+ GitHub stars and a growing contributor base.
Expertise : Created by multiple maintainers of OpenTelemetry, ensuring deep integration and alignment with industry standards.
Heads-up: We’ve rebranded
Starting from 7th November 2025, the Digger project is now OpenTaco.
The company’s still Digger, same battle-tested engine — just a more apt name and a bigger vision.
TL;DR
Before: Best-in-class Terraform PR automation (a solid improvement upon Atlantis)
After: The only piece of software you need to run Terraform or OpenTofu in production
We'll gradually update all our marketing material to reflect the same!
CI/CD for Terraform is tricky. To make life easier, specialized CI systems aka TACOS exist - Terraform Cloud, Spacelift, Atlantis, etc.
But why have 2 CI systems? Why not reuse the async jobs infrastructure with compute, orchestration, logs, etc of your existing CI?
Digger runs Terraform natively in your CI. This is:
Secure, because cloud access secrets aren't shared with a third-party
Cost-effective, because you are not paying for additional…
Connect your local process and your cloud environment, and run local code in cloud conditions.
mirrord lets developers run local processes in the context of their Kubernetes environment
It’s meant to provide the benefits of running your service on a cloud environment (e.g. staging) without actually
going through the hassle of deploying it there, and without disrupting the environment by deploying untested code
It comes as a Visual Studio Code extension, an IntelliJ plugin and a CLI tool. You can read more about it here.
Produce output when the rule condition is not satisfied
Currently the output block is only evaluated if the rule is actually activated (action, roles and conditions are satisfied).
In certain situations, it's desirable to produce output when the rule is nearly activated (action and roles match but the condition is not satisfied).
In order to maintain backward compatibility, reduce noise, and to keep policy execution as fast as possible (outputs incur a tiny overhead), the proposal is to let users add an optional when section to the output block to opt into this behaviour.
- actions: ['view']
effect: EFFECT_ALLOW
roles: ['user']
condition:
match:
expr: timestamp(R.expiry_date) > now()
output:
expr: >
format("%d hours until expiry", (timestamp(R.expiry_date) - now()).getHours())
when:
cond_fail: >
format("expired on %s", R.expiry_date)
When evaluating the above rule,
if the action, roles and condition match, output will be the result of evaluating output.expr
If the condition is not satisfied, output will be the result of evaluating output. when.cond_fail if it exists. Otherwise no output will be produced.
The open-source notification Inbox infrastructure. E-mail, SMS, Push and Slack Integrations.
The <Inbox /> infrastructure for modern products
The notification platform that turns complex multi-channel delivery into a single component. Built for developers, designed for growth, powered by open source
Novu provides a unified API that makes it simple to send notifications through multiple channels, including Inbox/In-App, Push, Email, SMS, and Chat.
With Novu, you can create custom workflows and define conditions for each channel, ensuring that your notifications are delivered in the most effective way possible.
✨ Features
Embeddable Inbox component with real-time support
Single API for all messaging providers (Inbox/In-App, Email, SMS, Push, Chat)
Digest Engine to combine multiple notification in to a single E-mail
No-Code Block Editor for Email
Notification Workflow Engine
Embeddable user preferences component gives your subscribers control over their…
Trigger.dev is the open-source platform for building AI workflows in TypeScript. Long-running tasks with retries, queues, observability, and elastic scaling.
The platform designed for building AI agents
Build AI agents using all the frameworks, services and LLMs you're used to, deploy them to Trigger.dev and get durable, long-running tasks with retries, queues, observability, and elastic scaling out of the box.
Long-running without timeouts: Execute your tasks with absolutely no timeouts, unlike AWS Lambda, Vercel, and other serverless platforms.
Durability, retries & queues: Build rock solid agents and AI applications using our durable tasks, retries, queues and idempotency.
True runtime freedom: Customize your deployed tasks with system packages – run browsers, Python scripts, FFmpeg and more.
Human-in-the-loop: Programmatically pause your tasks until a human…
Open source alternative to Auth0 / Firebase Auth / AWS Cognito
Open-Source auth provider
Add secure login and session management to your apps. SDKs available
for popular languages and front-end frameworks e.g. Node.js, Go, Python, React.js, React Native, Vanilla JS, etc.
Supertokens architecture is optimized to add secure authentication for your users without compromising on user and
developer experience
Three building blocks of SuperTokens architecture
Frontend SDK: Manages session tokens and renders login UI widgets
Backend SDK: Provides APIs for sign-up, sign-in, signout, session refreshing, etc. Your Frontend will talk to these
APIs
SuperTokens Core: The HTTP service for the core auth logic and database operations. This service is used by the
Backend SDK
Features
Passwordless Login
Social Login
Email Password Login
Phone Password Login
Session Management
Multi-Factor Authentication
Multi Tenancy / Organization Support (Enterprise SSO)
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
Wazuh
Wazuh is a free and open source platform used for threat prevention, detection, and response. It is capable of protecting workloads across on-premises, virtualized, containerized, and cloud-based environments.
Wazuh solution consists of an endpoint security agent, deployed to the monitored systems, and a management server, which collects and analyzes data gathered by the agents. Besides, Wazuh has been fully integrated with the Elastic Stack, providing a search engine and data visualization tool that allows users to navigate through their security alerts.
Wazuh capabilities
A brief presentation of some of the more common use cases of the Wazuh solution.
Intrusion detection
Wazuh agents scan the monitored systems looking for malware, rootkits and suspicious anomalies. They can detect hidden files, cloaked processes or unregistered network listeners, as well as inconsistencies in system call responses.
In addition to agent capabilities, the server component uses a signature-based approach to intrusion detection, using its…
Material UI: Comprehensive React component library that implements Google's Material Design. Free forever.
Material UI
Material UI is a comprehensive library of React components that features our independent implementation of Google's Material Design system
It's trusted by some of the world's greatest product teams because it's been rigorously battle-tested through more than a decade of development by thousands of open-source contributors.
Material UI's core functionality is extended by MUI X, a suite of complex components for advanced use cases.
Note:@next points to pre-releases.
Use @latest for the latest stable release.
Joy UI
This repository also contains Joy UI, an experimental component library that implements our own in-house Joy Design
Joy UI is in beta and development is currently on hold…
Swiper - is the free and most modern mobile touch slider with hardware accelerated transitions and amazing native behavior. It is intended to be used in mobile websites, mobile web apps, and mobile native/hybrid apps.
Swiper is not compatible with all platforms, it is a modern touch slider which is focused only on modern apps/platforms to bring the best experience and simplicity.
Features
Tree-shakeable: Only modules you use will be imported into your app's bundle.
Mobile-friendly: It is intended to be used in mobile websites, mobile web apps, and mobile native/hybrid apps.
Library Agnostic: Swiper doesn't require any JavaScript libraries like jQuery, which makes Swiper much smaller and faster. It can be safely used with libraries such as jQuery, Zepto, jQuery Mobile, etc.
Add a Connector: Yahoo search
It would help to search anything with Swirl on Yahoo effectively.
Locate and read a bit in their search API first. You might just need to make a new SearchProvider configration vs. a new Connector. Their docs should help guide you a bit in which way you might need to go.
Add images (or link to the example app) of auth UI helpers Wasp provides
At this point in docs (also in the tutorial if we're using it), it would be nice to add an image of UI helpers for Auth (login/signup form, Google/GitHub button, ...) so developers can immediately see what they are getting and how nice it looks.
Logstash - transport and process your logs, events, or other data
Logstash
Logstash is part of the Elastic Stack along with Beats, Elasticsearch and Kibana. Logstash is a server-side data processing pipeline that ingests data from a multitude of sources simultaneously, transforms it, and then sends it to your favorite "stash." (Ours is Elasticsearch, naturally.). Logstash has over 200 plugins, and you can write your own very easily as well.
Logstash plugins are hosted in separate repositories under the logstash-plugins github organization. Each plugin is a self-contained Ruby gem which gets published…
Snapify allows you to record and share recordings asynchronously
Make unlimited recordings of your tab, desktop, and any application
Share recordings with anyone using a public link
Delete or un-list recordings after a specific timeframe
Upload and share existing videos
Development
Setup
Clone the repo into a public GitHub repository (or fork https://github.com/MarconLP/snapify/fork). If you plan to distribute the code, make sure to comply with our LICENSE.md.
git clone https://github.com/MarconLP/snapify.git
Go to the project folder
cd snapify
Install packages with npm
npm i
Set up your .env file
Duplicate .env.example to .env
Use openssl rand -base64 32 to generate a key and add it under NEXTAUTH_SECRET in the .env file.
Fill in the other variablesConfigure DATABASE_URL
Open Railway and click "Start a New Project", and select Provision "MySQL".
X's Recommendation Algorithm is a set of services and jobs that are responsible for serving feeds of posts and other content across all X product surfaces (e.g. For You Timeline, Search, Explore, Notifications). For an introduction to how the algorithm works, please refer to our engineering blog.
Architecture
Product surfaces at X are built on a shared set of data, models, and software frameworks. The shared components included in this repository are listed below:
1️⃣🐝🏎️ The One Billion Row Challenge -- A fun exploration of how quickly 1B rows from a text file can be aggregated with Java
1️⃣🐝🏎️ The One Billion Row Challenge
Status Feb 4: The final leaderboards have been published. Congrats to all the winners, and a big thank you to everyone participating in this challenge as well as to everyone helping to organize it!
Status Feb 3: All entries have been evaluated and I am in the process of finalizing the leaderboards.
Status Feb 1: The challenge has been closed for new submissions. No new pull requests for adding submissions are accepted at this time
Pending PRs will be evaluated over the next few days.
Status Jan 31: The challenge will close today at midnight UTC.
Status Jan 12: As there has been such a large number of entries to this challenge so far (100+), and this is becoming hard to manage, please only create new submissions if you expect them to run in 10 seconds or less on the evaluation machine.
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
"Knowledge is powerful, be careful how you use it!"
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools, and more.
📔 What is it?
This repository is a collection of various materials and tools that I use every day in my work. It contains a lot of useful information gathered in one piece. It is an invaluable source of knowledge for me that I often look back on.
🚻 For whom?
For everyone, really. Here everyone can find their favourite tastes. But to be perfectly honest, it is aimed towards System and Network administrators, DevOps, Pentesters, and Security Researchers.
ℹ️ Contributing
If you find something which doesn't make sense, or something doesn't seem right, please make a pull request and please add valid and well-reasoned explanations about your changes or comments.
Vice President of Product @ InfinyOn. Into hiking, biking, soccer, food and music.
Building a light, fast, easy, composable data streaming platform for building end to end data flows that just work!
Glad you enjoyed it! Listicles get a bad wrap, but aggregating sources for people can be incredibly helpful especially first issues for those looking to get started with contributing.
Portkey-AI
/
gateway
The LLM course is divided into three parts:
Supertokens architecture is optimized to add secure authentication for your users without compromising on user and
developer experience
Top comments (12)
Great list. And really, thanks for introducing Swirl to this list.
It's a great library, thanks for showing it to me!
Super actionable article! Great start to 2024!
Thanks!
Hey @uliyahoo, wonderful list and thank you for adding Winglang to the article amongst so many other great open-source libraries!
🙏🏼
Nice list!
Thank you Bap!
Wow, you really went all-in with the upvoting bot accounts.
Thanks you for checking out the article
Usually not a fan of listicles, but really appreciate the good first issues. Will be great for some weekend contributions
Glad you enjoyed it! Listicles get a bad wrap, but aggregating sources for people can be incredibly helpful especially first issues for those looking to get started with contributing.