Our open-source project for building AI / Data full-stack apps got funded! 🎉 🎉

#webdev #programming #productivity #opensource

𝗛𝗶 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆,
We are excited to share with you this wonderful news: we completed our $5m Seed Funding round last month to help developers build AI / Data full-stack apps.

𝗧𝗵𝗲 𝗧𝗮𝗶𝗽𝘆 𝗦𝘁𝗼𝗿𝘆
A few years back, Albert and I after years of heading AI projects for large organizations, decided that it was time to transition to full Python development and to stop using traditional Java, JS, .Net stacks, etc.

We had a pretty clear idea of what features we were looking for, but to our surprise, we couldn’t find them amongst the flurry of existing Python packages.

Our mission was straightforward yet ambitious: to provide the missing bricks that prevent so many AI/Data pilots from making it into a successful deployed project.

In particular, we wanted to bring the end-user back into the “AI/Data” picture. I am still amazed today to see how little is mentioned about the end-user: from Data Scientists to Data Engineers, it is all about data flows, exposing algorithms, etc? No mention about how a human being is going to interact with AI/Data models… We wanted to change all that!

So we decided to build Taipy…

𝗧𝗮𝗶𝗽𝘆 𝗰𝗼𝗺𝗯𝗶𝗻𝗲𝘀:

A powerful Interactive front-end Application builder yet very simple to learn/use.
“Scenarios” which is the possibility for the end-user (and the data scientist as well) to interact with data and algorithms easily.

In 2022, we first launched Taipy as an open-source project (do check out our GitHub Page), followed by the Enterprise version later that year.

Thanks to the overwhelming support and interest from this amazing community, our GitHub project not only trending but also saw a phenomenal rise in popularity, growing from 100 to over 3,000 stars in a few weeks! We are beyond grateful for your support and enthusiasm.

Feel free to ⭐ the Taipy repository

I would also like to thank our early corporate adopters, who are so important in validating and testing a new technology. Specials thanks to McDonald’s, KnowledgeTouch, Groupe Les Mousquetaires, Total Energies, Textil Apparel Limited, IFP-EN, etc.

𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗦𝘁𝗮𝘁𝘂𝘀
We recently released:

Taipy Cloud to allow community users to deploy, host, and share their apps with the rest of the world
Important Backend features: Taipy Studio, Application Versioning, Tasks Scheduling, Python API, Visual Component for Scenario Management, a new CLI, and more...
On the Front-end side: a new Style Kit, a default set of stylesheet templates for instant application creation, new charts...
TalkToTaipy, the LLM-based application to explore datasets using only natural languages

𝗧𝗮𝗶𝗽𝘆’𝘀 𝗳𝘂𝘁𝘂𝗿𝗲
This significant investment allows us to continue our full-time commitment to improving Taipy. This funding is also a crucial step towards realizing our vision, positioning Taipy as the leading platform for Python AI/Data projects.

𝗧𝗵𝗲 𝗻𝗲𝘅𝘁 𝗿𝗲𝗹𝗲𝗮𝘀𝗲 (𝗽𝗹𝗮𝗻𝗻𝗲𝗱 𝗳𝗼𝗿 𝗤𝟭 𝟮𝟬𝟮𝟰)
A fantastic release coming up soon (this quarter) with major new functionalities:

A brand new No-Code GUI Designer: you will be able to build your GUI page with no coding! Sorry for the spoiler but this new Designer is a killer!
Distributed Computing: Execution on remote clusters for parallel scenario/task execution.
Integration with major Platforms: like Databricks, Dataiku, etc.

And all this, while staying true to our open-source roots!

𝗢𝗻 𝘁𝗵𝗲 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝘀𝗶𝗱𝗲:

We’re now present on several community platforms: Discord, LinkedIn, X, and YouTube.
We sponsored several events: conferences (PyData, Pycon, ODSC...), hackathons, meetups, webinars…
We also plan to start regular Taipy Tech-Talks soon. .

And yes, all of this in open source!

We're always eager to hear from you, so if there's something you think Taipy could improve on or add, let us know. Your input is invaluable in shaping our roadmap.

Thank you, everyone, for your support. We couldn't have reached this milestone without you!
Vincent Gosselin & Albert Antoine
Co-founders of Taipy

Haven't checked out Taipy yet? Feel free to visit our GitHub page.