fintech-awesome-libraries

compilation of libraries that have been helpful for data analysis
https://github.com/Davelexic/fintech-awesome-libraries

Last synced: 4 days ago
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Machine Learning
- Automatic Plotting
  - awesome-machine-learning
  - Shogun - Machine learning toolbox.
  - gym - A toolkit for developing and comparing reinforcement learning algorithms.
  - H2O - Open Source Fast Scalable Machine Learning Platform.
  - mlpack - A scalable C++ machine learning library (Python bindings).
  - xLearn - High Performance, Easy-to-use, and Scalable Machine Learning Package.
  - MLxtend - Extension and helper modules for Python's data analysis and machine learning libraries.
  - xgboost - A scalable, portable, and distributed gradient boosting library.
  - cuML - RAPIDS Machine Learning Library.
  - MindsDB - MindsDB is an open source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries.
  - causalml - Uplift modeling and causal inference with machine learning algorithms.
  - Karate Club - An unsupervised machine learning library for graph structured data.
  - sklearn-expertsys - Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models.
  - seqlearn - Sequence classification toolkit for Python.
  - pystruct - Simple structured learning framework for Python.
  - Sparkit-learn - PySpark + scikit-learn = Sparkit-learn.
  - RuleFit - Implementation of the rulefit.
  - pyGAM - Generalized Additive Models in Python.
  - Little Ball of Fur - A library for sampling graph structured data.
  - Reproducible Experiment Platform (REP) - Machine Learning toolbox for Humans.
  - hyperlearn - 50%+ Faster, 50%+ less RAM usage, GPU support re-written Sklearn, Statsmodels.
  - scikit-learn - The most popular Python library for Machine Learning.
  - NuPIC - Numenta Platform for Intelligent Computing.
  - metric-learn - Metric learning algorithms in Python.
- Automated Machine Learning
  - auto-sklearn - An automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
  - MLBox - A powerful Automated Machine Learning python library.
Theory
- Automated Machine Learning
  - Papers We Love
  - Talks
  - Algorithms
  - Education - Learning and practicing.
  - Algorithm Visualizations
  - Artificial Intelligence
  - Search Engine Optimization
  - Competitive Programming
  - Math
  - Recursion Schemes - Traversing nested data structures.
Books
Cheats sheets
- Github Cheat sheet - A collection of cool hidden and not so hidden features of Git and GitHub.
- Git tips - Collection of tips for Git.
- Data Manipulation - Data mutation.
- Data Science Cheatsheet
Database Drivers
- Automatic Plotting
  - awesome-postgres
  - psycopg2 - The most popular PostgreSQL adapter for Python.
  - sqlite3 - (Python standard library) SQlite interface compliant with DB-API 2.0
  - awesome-sqlite
  - PyMySQL - A pure Python MySQL driver compatible to mysql-python.
  - queries - A wrapper of the psycopg2 library for interacting with PostgreSQL.
  - SuperSQLite - A supercharged SQLite library built on top of [apsw](https://github.com/rogerbinns/apsw).
  - awesome-mysql
  - mysqlclient - MySQL connector with Python 3 support ([mysql-python](https://sourceforge.net/projects/mysql-python/) fork).
Learn
- Automated Machine Learning
  - CLI Workshoppers - Interactive tutorials.
  - Learn to Program
  - Speaking
  - Tech Videos
  - Computer History
  - Educational Games - Learn while playing.
  - Product Management - Learn how to be a better product manager.
  - Roadmaps - Gives you a clear route to improve your knowledge and skills.
  - YouTubers - Watch video tutorials from YouTubers that teach you about technology.
  - Dive into Machine Learning
Business
- Open Companies
- Places to Post Your Startup
- OKR Methodology - Goal setting & communication best practices.
- Indie - Independent developer businesses.
- Tools of the Trade - Tools used by companies on Hacker News.
- Clean Tech - Fighting climate change with technology.
- Wardley Maps - Provides high situational awareness to help improve strategic planning and decision making.
- Social Enterprise - Building an organization primarily focused on social impact that is at least partially self-funded.
- Engineering Team Management - How to transition from software development to engineering management.
- Developer-First Products - Products that target developers as the user.
- Leading and Managing - Leading people and being a manager in a technology company/environment.
Work
- Automated Machine Learning
  - Slack - Team collaboration.
  - Communities
  - Remote Jobs
  - Productivity
  - Niche Job Boards
  - Programming Interviews
  - Code Review - Reviewing code.
  - Creative Technology - Businesses & groups that specialize in combining computing, design, art, and user experience.
Decentralized Systems
- Automatic Plotting
  - Bitcoin - Bitcoin services and tools for software developers.
  - Ripple - Open source distributed settlement network.
  - Non-Financial Blockchain - Non-financial blockchain applications.
  - Ethereum - Distributed computing platform for smart contract development.
  - Blockchain AI - Blockchain projects for artificial intelligence and machine learning.
  - EOSIO - A decentralized operating system supporting industrial-scale apps.
  - Waves - Open source blockchain platform and development toolset for Web 3.0 apps and decentralized solutions.
  - Mastodon - Open source decentralized microblogging network.
  - Corda - Open source blockchain platform designed for business.
  - Substrate - Framework for writing scalable, upgradeable blockchains in Rust.
Cryptography
- cryptography - A package designed to expose cryptographic primitives and recipes to Python developers.
- passlib - Secure password storage/hashing library, very high level.
- pynacl - Python binding to the Networking and Cryptography (NaCl) library.
- paramiko - The leading native Python SSHv2 protocol library.
Data Analysis
- Pandas - A library providing high-performance, easy-to-use data structures and data analysis tools.
- Pandas Profiling - generates profile report off of pandas database.
- Blaze - NumPy and Pandas interface to Big Data.
- Open Mining - Business Intelligence (BI) in Pandas interface.
- Orange - Data mining, data visualization, analysis and machine learning through visual programming or scripts.
- Optimus - Agile Data Science Workflows made easy with PySpark.
- AWS Data Wrangler - Pandas on AWS.
Date and Time
- Automatic Plotting
  - Arrow - A Python library that offers a sensible and human-friendly approach to creating, manipulating, formatting and converting dates, times and timestamps.
  - pytz - World timezone definitions, modern and historical.
  - dateutil - Powerful extensions to the standard datetime module
  - when.py - Providing user-friendly functions to help perform common date and time actions.
  - luminol - Anomaly Detection and Correlation library.
  - Prophet - Automatic Forecasting Procedure.
  - PyFlux - Open source time series library for Python.
  - moment - A Python library for dealing with dates/times.
  - Chronyk - A Python 3 library for parsing human-written times and dates.
  - bayesloop - Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
  - tick - Module for statistical learning, with a particular emphasis on time-dependent modelling.
  - PyTime - An easy-to-use Python module which aims to operate date/time/datetime by string.
  - delorean - A library for clearing up the inconvenient truths that arise dealing with datetimes.
  - tslearn - Machine learning toolkit dedicated to time-series data.
  - maya - makes it very easy to parse a string and for changing timezones.
  - Pendulum - Python datetimes made easy.
Websites
- Automated Machine Learning
Newsletters
- Automated Machine Learning
Data Visualization
- Interactive plots
  - Altair - Declarative statistical visualization library for Python. Can easily do many data transformation within the code to create graph
  - Bokeh - Interactive Web Plotting for Python.
  - animatplot - A python package for animating plots build on matplotlib.
  - bqplot - Plotting library for IPython/Jupyter notebooks
  - pyecharts - a charting and visualization library, to Python's interactive visual drawing library.
- Map
  - folium - Makes it easy to visualize data on an interactive open street map
  - geemap - Python package for interactive mapping with Google Earth Engine (GEE)
  - geemap - Python package for interactive mapping with Google Earth Engine (GEE)
- General Purposes
  - Matplotlib - Plotting with Python.
  - seaborn - Statistical data visualization using matplotlib.
  - prettyplotlib - Painlessly create beautiful matplotlib plots.
  - python-ternary - Ternary plotting library for python with matplotlib.
  - missingno - Missing data visualization module for Python.
  - chartify - Python library that makes it easy for data scientists to create charts.
  - physt - Improved histograms.
- Automatic Plotting
  - HoloViews - Stop plotting your data - annotate your data and let it visualize itself.
  - AutoViz
  - SweetViz
  - HoloViews - Stop plotting your data - annotate your data and let it visualize itself.
Deployment
- Automatic Plotting
  - fastapi - Modern, fast (high-performance), web framework for building APIs with Python
  - binder - Enable sharing and execute Jupyter Notebooks
Tensor Flow
- Automated Machine Learning
  - TensorFlow - Computation using data flow graphs for scalable machine learning by Google.
  - NeuPy - NeuPy is a Python library for Artificial Neural Networks and Deep Learning
  - Elephas - Distributed Deep learning with Keras & Spark.
  - qkeras - A quantization deep learning library.
  - Mesh TensorFlow - Model Parallelism Made Easier.
  - TFLearn - Deep learning library featuring a higher-level API for TensorFlow.
  - Polyaxon - A platform that helps you build, manage and monitor deep learning models.
  - tfdeploy - Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.
  - TensorFlow Fold - Deep learning with dynamic computation graphs in TensorFlow.
  - tensorlm - Wrapper library for text generation / language models at char and word level with RNN.
  - keras-contrib - Keras community contributions.
  - Hyperas - Keras + Hyperopt: A very simple wrapper for convenient hyperparameter.
  - Hera - Train/evaluate a Keras model, get metrics streamed to a dashboard in your browser.
  - Spektral - Deep learning on graphs.
  - Sonnet - TensorFlow-based neural network library.
  - tensorpack - A Neural Net Training Interface on TensorFlow.
  - tensorflow-upstream - TensorFlow ROCm port.
  - Ludwig - A toolbox, that allows to train and test deep learning models without the need to write code.
  - TensorLight - A high-level framework for TensorFlow.
Statistics
- Automated Machine Learning
  - statsmodels - Statistical modeling and econometrics in Python.
  - Alphalens - Performance analysis of predictive (alpha) stock factors.
  - scikit-posthocs - Pairwise Multiple Comparisons Post-hoc Tests.
  - stockstats - Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.
  - weightedcalcs - A pandas-based utility to calculate weighted means, medians, distributions, standard deviations, and more.
  - Pandas Profiling - Create HTML profiling reports from pandas DataFrame objects.
Evaluation
- Automatic Plotting
  - sklearn-evaluation - Model evaluation made easy: plots, tables and markdown reports.
  - Metrics - Machine learning evaluation metric.
  - recmetrics - Library of useful metrics and plots for evaluating recommender systems.
  - AI Fairness 360 - Fairness metrics for datasets and ML models, explanations and algorithms to mitigate bias in datasets and models.

Programming Languages

Python 64 C++ 5 Jupyter Notebook 4 TypeScript 3 JavaScript 3 Shell 2 C 1 HTML 1 Markdown 1 CSS 1

fintech-awesome-libraries

Machine Learning

Automatic Plotting

Automated Machine Learning

Theory

Automated Machine Learning

Books

Cheats sheets

Database Drivers

Automatic Plotting

Learn

Automated Machine Learning

Business

Work

Automated Machine Learning

Decentralized Systems

Automatic Plotting

Cryptography

Data Analysis

Date and Time

Automatic Plotting

Websites

Automated Machine Learning

Newsletters

Automated Machine Learning

Data Visualization

Interactive plots

Map

General Purposes

Automatic Plotting

Deployment

Automatic Plotting

Tensor Flow

Automated Machine Learning

Statistics

Automated Machine Learning

Evaluation

Automatic Plotting