Apache Superset is a Data Visualization and Data Exploration Platform
- superset
- apache
- apache-superset
- data-visualization
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Apache Superset is a Data Visualization and Data Exploration Platform
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
Umami is a privacy-first web and product analytics platform. Traffic, campaigns, behavior, conversions, and revenue in one place. No cookies, no surveillance, self-hosted or in the cloud.
A game theoretic approach to explain the output of any machine learning model.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Empowering People Ethically 🚀 — Matomo is hiring! Join us → https://matomo.org/jobs Matomo is the leading open-source alternative to Google Analytics, giving you complete control and built-in privacy. Easily collect, visualise, and analyse data from websites & apps. Star us on GitHub ⭐️ – Pull Requests welcome!
Performant financial charts built with HTML5 canvas
The Cloud Native AI Platform
stable diffusion webui colab
Statsmodels: statistical modeling and econometrics in Python
A collection of composable React components for building interactive data visualizations
Modin: Scale your Pandas workflows by changing a single line of code
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
cuDF - GPU DataFrame Library
Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Immediate Mode Plotting
Voilà turns Jupyter notebooks into standalone web applications
Countly is a privacy-first, AI-powered analytics and engagement platform for understanding and optimizing customer journeys across digital applications, from desktop and mobile to IoT and connected environments.
Automate code & data workflows with interactive Elixir notebooks
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.