Apache Superset is a Data Visualization and Data Exploration Platform
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Apache Superset is a Data Visualization and Data Exploration Platform
Streamlit — A faster way to build and share data apps.
: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.
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.
Turns Data and AI algorithms into production-ready web applications in no time.
Create web-based user interfaces with Python. The nice way.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Ready-to-run Docker images containing Jupyter applications
Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.
Realtime Web Apps and Dashboards for Python and R
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A Python module for creating Excel XLSX files.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
Python library that makes it easy for data scientists to create charts.
StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerting logic you define.
Python Stream Processing
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Python Streaming DataFrames for Kafka
No-code in the front, Python in the back. An open-source framework for creating data apps.
NFStream: a Flexible Network Data Analysis Framework.
Scalable, event-driven, deep-learning-friendly backtesting library
Python DataFrames as Interactive DataTables