Apache Superset is a Data Visualization and Data Exploration Platform
- superset
- apache
- apache-superset
- data-visualization
47,133 repositories indexed
1–24 of 27 · Most stars
Apache Superset is a Data Visualization and Data Exploration Platform
: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.
Data Apps & Dashboards for Python. No JavaScript Required.
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
🪄 Data Formulator is an interactive AI-powered data analysis system makes it easy to connect, explore and visualize data.
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.
Scalable and user friendly neural :brain: forecasting algorithms.
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
ObsPy: A Python Toolbox for seismology/seismological observatories.
A JupyterLab plugin to facilitate invocation of code formatters.
A set of useful perceptually uniform colormaps for plotting scientific data
Interactive network visualization in Python and Dash, powered by Cytoscape.js
An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.
Python library for working with Music Information Retrieval datasets
A simple extension for Jupyter Notebook and Jupyter Lab to beautify Python code automatically using black.
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
High performance, editable, stylable datagrids in jupyter and jupyterlab
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
Autonomous multi-agent framework to optimize scientific software
Dataset of packed PE samples
MCP server for spatial transcriptomics analysis through natural language interfaces.
Universal 1d/2d data containers with Transformers functionality for data analysis.