Apache ECharts is a powerful, interactive charting and data visualization library for browser
- echarts
- data-visualization
- charts
- charting-library
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Apache ECharts is a powerful, interactive charting and data visualization library for browser
Interactive Data Visualization in the browser, from Python
Count your code, quickly.
Session replay, cobrowsing and product analytics you can self-host. Best for reproducing issues and iterating on your product.
Modin: Scale your Pandas workflows by changing a single line of code
UAParser.js: The Essential Web Development Tool for User-Agent Detection. Detect Browsers, OS, Devices, Bots, Apps, AI Crawlers, and more. Run in Browser or Node
Sloc, Cloc and Code: scc is a very fast accurate code counter with complexity calculations and COCOMO estimates written in pure Go
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Automate code & data workflows with interactive Elixir notebooks
Browser compatibility data for Web technologies as displayed on MDN
A Laravel package to retrieve pageviews and other data from Google Analytics
With Holoviews, your data visualizes itself.
Lightweight analytics abstraction layer for tracking page views, custom events, & identifying visitors
Windows Events Attack Samples
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
git-cola: The highly caffeinated Git GUI
GridDB is a next-generation open source database that makes time series IoT and big data fast,and easy.
An interactive data visualization tool which brings matplotlib graphics to the browser using D3.
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Fast Disk And Memory Space Visualization App for Mac, Windows and Ubuntu
An extensible framework for linking databases and interactive views.
Hopsworks - Data-Intensive AI platform with a Feature Store