Taipy is an open-source Python library for building data and AI web apps. As an alternative to Streamlit, it's designed for data scientists and Python web developers — no background in web development required!
Rym, Community Manager at Taipy here. Joined Taipy a few months ago and discovered the nice story of Taipy.
Taipy founders Vincent Gosselin and Albert Antoine, with extensive backgrounds in leading software companies (working with Samsung, TSMC, Global Foundries, Carhartt, etc.), transitioned from Java to Python, driven by Python's increasing prominence in IT.
This challenge came from frustration with the difficulty of bringing AI algorithms to the end-users. A focus was placed on Data Science Applications with insufficient consideration for end-users' needs, including customized interfaces, what-if analysis, scenario management, business KPI monitoring, and collaborative tools.
Since then, they gathered a team of experimented engineers to develop a whole new library that could meet their needs.
Taipy came to life as an open-source (and will always be) library for building data and AI web apps front-end & back-end in the Python ecosystem.
Designed for data scientists and Python web developers, it helps create interfaces such as Chatbots, LLM-based data-driven applications, dashboards… etc., without requiring any background in web development such as HTML, CSS, PH, JS!
Lately, such as Goku leveling up to its Super Saiyan third stage, our application builder has improved with many new features.
☁ Deploy, Host, and Share your applications on our Taipy Cloud within a few clicks.
🗣 Exploreyour datasets using only natural languages with our LLM-based application: TalkToTaipy.
📊 Create and manage configuration elements with a graphical editor: Taipy Studio, and store them in - TOML files that your Taipy Application can load at runtime.
🐍 Develop entirely in Python besides Markdown with the Python Page Builder API.
🎛 Select and interact graphically with entities such as Data Nodes, Jobs, and Scenarios using the Scenario Management Controls.
📶 Broadcast your Application variable updates to every connected user so that all of them visualize the same information. This is specifically relevant when monitoring live global data.
⌛ Schedule all your tasks, no need to stay up all night long to run them; the Scheduler will do it for you.
💄Solidify your application's general look and feel with predefined cascading stylesheets grouped in what is called the Style kit.
🗺 New charts have joined the long list of Plotly charts accessible from Taipy such as the TreeMap and the Waterfall chart.
💻 Get started with Taipyin the best way ever by using a comfortable environment to via the CLI (Command Line Interface). You can now create, display, manage, and run scenarios from the GUI page with unparalleled ease.
📚 Version your applications: Create, manage, and migrate different versions of your Taipy applications effortlessly, eliminating the complexities of version control that have often posed challenges with the brand-new Application Versioning feature included in the CLI.
We’re excited to build a world where data scientists, and Python developers can focus on their data, interact with them, reveal them and be able to share their work efficiently and easily without being forced to learn new skills in web development.
👊 Learn more about Taipy, contribute, and stay tuned on our GitHub repo
👊 Join our community and engage with us on Discord
Taipy 3.0 launched on Product Hunt on February 13th, 2024 and earned 311 upvotes and 226 comments, placing #7 on the daily leaderboard. Taipy is an open-source Python library for building data and AI web apps. As an alternative to Streamlit, it's designed for data scientists and Python web developers — no background in web development required!
On the analytics side, Taipy 3.0 competes within Data & Analytics, Data Science and Data Visualization — topics that collectively have 12.8k followers on Product Hunt. The dashboard above tracks how Taipy 3.0 performed against the three products that launched closest to it on the same day.
Who hunted Taipy 3.0?
Taipy 3.0 was hunted by Chris Messina. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Chris Messina
Hi Product Hunt!
Rym, Community Manager at Taipy here. Joined Taipy a few months ago and discovered the nice story of Taipy.
Taipy founders Vincent Gosselin and Albert Antoine, with extensive backgrounds in leading software companies (working with Samsung, TSMC, Global Foundries, Carhartt, etc.), transitioned from Java to Python, driven by Python's increasing prominence in IT.
This challenge came from frustration with the difficulty of bringing AI algorithms to the end-users. A focus was placed on Data Science Applications with insufficient consideration for end-users' needs, including customized interfaces, what-if analysis, scenario management, business KPI monitoring, and collaborative tools.
Since then, they gathered a team of experimented engineers to develop a whole new library that could meet their needs.
Taipy came to life as an open-source (and will always be) library for building data and AI web apps front-end & back-end in the Python ecosystem.
Designed for data scientists and Python web developers, it helps create interfaces such as Chatbots, LLM-based data-driven applications, dashboards… etc., without requiring any background in web development such as HTML, CSS, PH, JS!
Lately, such as Goku leveling up to its Super Saiyan third stage, our application builder has improved with many new features.
☁ Deploy, Host, and Share your applications on our Taipy Cloud within a few clicks.
🗣 Explore your datasets using only natural languages with our LLM-based application: TalkToTaipy.
📊 Create and manage configuration elements with a graphical editor: Taipy Studio, and store them in - TOML files that your Taipy Application can load at runtime.
🐍 Develop entirely in Python besides Markdown with the Python Page Builder API.
🎛 Select and interact graphically with entities such as Data Nodes, Jobs, and Scenarios using the Scenario Management Controls.
📶 Broadcast your Application variable updates to every connected user so that all of them visualize the same information. This is specifically relevant when monitoring live global data.
⌛ Schedule all your tasks, no need to stay up all night long to run them; the Scheduler will do it for you.
💄Solidify your application's general look and feel with predefined cascading stylesheets grouped in what is called the Style kit.
🗺 New charts have joined the long list of Plotly charts accessible from Taipy such as the TreeMap and the Waterfall chart.
💻 Get started with Taipy in the best way ever by using a comfortable environment to via the CLI (Command Line Interface). You can now create, display, manage, and run scenarios from the GUI page with unparalleled ease.
📚 Version your applications: Create, manage, and migrate different versions of your Taipy applications effortlessly, eliminating the complexities of version control that have often posed challenges with the brand-new Application Versioning feature included in the CLI.
We’re excited to build a world where data scientists, and Python developers can focus on their data, interact with them, reveal them and be able to share their work efficiently and easily without being forced to learn new skills in web development.
👊 Learn more about Taipy, contribute, and stay tuned on our GitHub repo
👊 Join our community and engage with us on Discord
👊 Get started with our Documentation