Apache Superset is a Data Visualization and Data Exploration Platform
- superset
- apache
- apache-superset
- data-visualization
Repository Index
47,133 repositories indexed
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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
- data-analysis
- pandas
- flexible
- alignment
: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.
🕸️ Web apps in pure Python 🐍
- python
- framework
- open-source
- gui
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
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.
- notebooks
- python
- data-science
- machine-learning
matplotlib: plotting with Python
open-source agentic AI data assistant for the next generation of AI + Data products.
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
- quantified-self
- activitywatch
- productivity
- time-tracking
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
- bigquery
- duckdb
- llm
- postgresql
🪄 Data Formulator is an interactive AI-powered data analysis system makes it easy to connect, explore and visualize data.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
- cookiecutter-data-science
- cookiecutter
- cookiecutter-template
- data-science
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
- dataframe
- python
- bigdata
- tabular-data
An open source python library for automated feature engineering
- feature-engineering
- machine-learning
- data-science
- automated-machine-learning
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
- jupyter-notebook
- jupyterlab-extension
- version-control
- knitr
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
- python
- utilities
- cache
- data-structures
📚 Parameterize, execute, and analyze notebooks
- jupyter
- notebooks
- notebook-generator
- nteract
Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
- neocortex
- artificial-intelligence
- machine-intelligence
- hierarchical-temporal-memory
Voilà turns Jupyter notebooks into standalone web applications
- jupyter
- jupyter-notebook
- jupyterlab-extension
- dashboarding
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.
- cntk
- visualization
- tensorflow
- model-converter
Automatically visualize your pandas dataframe via a single print! 📊 💡
- visualization-tools
- jupyter
- python
- data-science
Lightning ⚡️ fast forecasting with statistical and econometric models.
- time-series
- statistics
- forecasting
- arima
An open source extension that connects AI agents to computational notebooks in JupyterLab.
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats