Beautiful charts for iOS/tvOS/OSX! The Apple side of the crossplatform MPAndroidChart.
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Empowering People Ethically 🚀 — Matomo is hiring! Join us → https://matomo.org/jobs Matomo is the leading open-source alternative to Google Analytics, giving you complete control and built-in privacy. Easily collect, visualise, and analyse data from websites & apps. Star us on GitHub ⭐️ – Pull Requests welcome!
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
- ipython
- jupyter
- data-science
- python
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
- cookiecutter-data-science
- cookiecutter
- cookiecutter-template
- data-science
Automatically visualize your pandas dataframe via a single print! 📊 💡
- visualization-tools
- jupyter
- python
- data-science
R Package for 2D and 3D mapping and data visualization
Python package for graph statistics
- graph
- data-science
- networks
- python
Easy to use .NET library for data and time series manipulation and for scientific programming
Castopod is an open-source hosting platform made for podcasters who want engage and interact with their audience. Synchronized read-only mirror of https://code.castopod.org/adaures/castopod
- podcasts
- hosting
- castopod
- podcasters
A collection of older plotting libraries for F#. Recommended to use Plotly.NET instead https://plotly.net/
- fsharp
Metric anomaly detection
A filesystem-like contents manager for multiple backends in Jupyter
Charting library suitable for interactive F# scripting
Common Lisp Statistics -- based on LispStat (Tierney) but updated for Common Lisp and incorporating lessons from R (http://www.r-project.org/). See the google group for lisp stat / common lisp statistics for a mailing list.
Cell-by-cell testing for production Jupyter notebooks in JupyterLab
A cookbook for InfluxDB, a time-series database (influxdb.org)
- cookbooks
- infrastructure-management
- monitoring
- database
This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.
- anaconda
- jupyter-notebook
- python
Attempt at reproducing a SGNN's projection layer, but with word n-grams instead of skip-grams. Paper and more: http://aclweb.org/anthology/D18-1105