Apache Superset

Data exploration and visualization platform

Superset is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple line charts to highly detailed geospatial charts.

Gensim

Topic modelling

Gensim is a python library for topic modelling, document indexing and similarity retrieval with large corpora. Gensm provides a set of pretrained machine learning models and pretrained vectors using large datasets collected from sources like Twitter, Wikipedia.

Grafana

Interactive visualizations

Grafana allows you to query, visualize, alert on and understand your metrics no matter where they are stored. Create, explore, and share dashboards with your team and foster a data driven culture.

Keras

Deep learning API based on TensorFlow

Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow. It was developed with a focus on enabling fast experimentation.

Matplotlib

Data visualization

Comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib is widely used for quick visualizations and to get an understanding of a dataset.

NetworkX

Complex networks

Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. With NetworkX it is possible to model relationships between entities building directed and undirected graphs and extract quantitative information. It can be used for a variety of network related tasks such as community detection, identifying connected components, and visualizing relationships using graphs.

NLTK

Natural Language Processing

NLTK is a natural language processing toolkit widely used to process text data with python programming language. With NLTK it is possible to compute text similarity, lemmatization, to remove stop words, sentiment analysis, etc. The NLTK website offers a suite of open source Python modules, data sets, and tutorials supporting research and development in Natural Language Processing.

Plotly

Interactive graphing

Interactive graphing library for Python. With Plotly users can visually represent a dataset and study the relationships in an interactive way. Plotly supports various types of plots like line charts, scatter plots, histograms, cox plots, etc. and offers many possibilities for graph customization.

PyTorch

An open source machine learning framework that accelerates the path from research prototyping to production deployment

PyTorch is a Python package that provides two high-level features. Tensor computation (like NumPy) with strong GPU acceleration and deep neural networks built on a tape-based autograd system.

scikit-learn

Python module for machine learning built on top of SciPy

Scikit-learn is a useful package for building machine learning models like clustering, classification, and regression models. It also provides a variety of packages for data transformation such as feature extraction, encoding, normalization etc.

TensorFlow

An open source machine learning framework

TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.

Transformers

Python library providing thousands of pre-trained models to perform tasks on different modalities

The Transformers library is a Python package that contains open-source implementations of transformer models for text, image, and audio tasks. It is compatible with the PyTorch, TensorFlow and JAX deep learning libraries and provides implementations of notable models like BERT and GPT. It provides APIs to quickly download and use pretrained models on a given text, fine-tune them on specific datasets and then share them with the community.