47,133 repositories indexed
1–21 of 21 · Most stars
AI turns documents or topics into real, native PowerPoint decks—with native shapes, transitions and animations, data-backed charts and tables on demand, audio narration from speaker notes, and support for your own .pptx templates. · by Hugo He
Data Apps & Dashboards for Python. No JavaScript Required.
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.
🎨 Python Echarts Plotting Library
11 Claude skills for day trading: scan thousands of charts, track breaking news, time every entry and exit, and replay every outcome before you risk a dollar.
A Python module for creating Excel XLSX files.
Python library that makes it easy for data scientists to create charts.
:bar_chart: Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
Self-hosted outdoor activity tracker :bicyclist: [mirror of codeberg repository: https://codeberg.org/FitTrackee/FitTrackee]
High-assurance AI data visualization IDE & analytics workbench. Natural language to charts with local ground-truth table verification.
A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.
Generate graphs and charts based on password cracking result
The power of Chart.js with Python
Visualize your shell usage with Highcharts!
Scrapy project for data capture of vgchartz
:chart_with_upwards_trend: A live cryptocurrency historical trade data blotter. Download live historical trade data from any cryptoexchange, be it for machine learning, backtesting/visualizing trading strategies or for Quantopian/Zipline.
Dash component for Vega-Altair charts
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.
:bar_chart: Update a pinned gist to contain your Code::Stats stats
Modern, interactive charts for Jupyter notebooks with Apache ECharts