This is a list of data science software and platforms used in data science, which includes programming languages, programming environments, machine learning frameworks, data engineering tools, statistical software, data analysis, plotting, MLOps systems, and more.
Programming languages
Development environments
These interactive notebooks, IDEs, and platforms provide specialised development environments.
- Apache Zeppelin
- Architect — Eclipse (software)
- CoCalc
- Dataiku Data Science Studio
- FreeMat
- GNU Octave
- Google Colab
- DataSpell
- Jupyter Notebook / JupyterLab
- Kaggle Notebooks
- MATLAB
- O-Matrix
- PyCharm
- RStudio
- SAS (software) and SAS Studio
- Spyder
- Visual Studio Code
Machine and deep learning software
The Machine learning / deep learning tools support development in those fields.
…
Source: Wikipedia
No Comments yet!