• Python -the most popular language for data science, analysis, and machine learning. (MAINLY USED as Quant Developer)
• C++ .
• R - for statistical purposes.
• MQL4 and MQL5 for metatrader
• Pine Script 4 for the recent Tradingview platform.

• Flask - a lightweight, easy to learn microframework for Python web apps
• Fast-API - a modern, fast(high performance), web framework for building APIs with Python.
• Django - a more structured framework to build web apps with Python.

• Pandas - A library for data analysis and manipulation of numerical tables and time series
• NumPy - library for multi-dimensional arrays and matrices, amthematical functions
• SciPy - modules for linear algebra, integration, FFT, signal and image processing
• pandas-datareader - remote data access for pandas.

• Matplotlib - comprehensive library for creating static, animated, and interactive visualizations in Python
• Plotly - provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphic libraries for Python.
• dash - build& deploy beautiful analytic web apps using Python.
• streamlit - easy way to provide web app.
• mplfinance - matplotlib utilities for the visualization, and visual analysis, of financial data
• jupyterlab -web-based interactive development environment for jupyter notebooks, code, and data pillow

• ta - Technical Analysis Library in Python based on pandas.
• TA-Lib - Python wrapper for TA-Lib
• bta-lib - backtrader ta-lib
• pandas-ta - Pandas Technical Analysis (Pandas TA) is an easy to use library that leverages the Pandas library with more than 120 Indicators and Utility functions
• tulipy - Python bindings for Tulip indicators

• PostgreSQL - the world's most advance open source library.
• psycopg2 - Most popular PostgreSQL database adapter for the Python programming Language.
• TimeScaleDB - Pythonic interface to the HDF5 binary data format.
• sqlalchemy - SQLAlchemy is the Python SQL toolkit and Object Relationa Mapper that gives application developers the full power and flexibility of SQL.
• redis - open source, in memory data structure store, used as a database, cache, and message broker.

• alpaca_trade_api - python library for the lpaca Commission Free Trading API. It allows rapid trading algo development easily, with support for both REST and streaming data interfaces.
• python-binance - Unofficial Python wrapper for the Binance exchange REST API v3.
• tda-api - tda-api is an unofficial wrapper around the TD Ameritrade APIs. it strives to be as thin and unopinionated as possible, offering an elegant programmatic interface over each endpoint
• ib_insync - the goal of the IB-insync library is to make working with the Trader Workstation API from interactive Brokers as easy as possible.
• robin-stocks -simple to use functions to interact with the robinhood Private API.
• FXCM

• intrinio-sdk -intrinio provides US market data, company fundamentals data, options data and SEC data, powered by advanced data quality technology.
• polygon-api-client -python client for Polygon.io, provider of real-time and historical financial market data APIs.
• iexfinance - Python SDK for IEX Cloud. Easy-to-Use toolkit to obtain data fro Stocks, ETFs, Mutual Funds, Forex/Currencies, Options, Commodities, Bonds, and Cryptocurrencies.
• yfinance - yfinance offers a reliable, threaded, and Pythonic way to download historical market data from yahoo! finance.
• quandl - source for financial, economic, and alternative datasets, serving investment professionals
• alpha-vantage - The alpha-vantage Stock API provides free JSON access to the stock market, plus a comprehensive set of technical indicators
• sec-edgar-downloader - package for downloading company filings from the SEC EDGAR database.

• backtrader -feature-rich Python framework for backtesting and trading.
• pyalgotrade -Python Algorithmic trading Library with focus on baktesting and support for paper-trading and live-trading.
• bt -bt is a flexible backtesting framework for Python used to test quantitative trading strategies.
• backtesting - Backtesting.py is a Python framework for inferring viability of trading strategies on historic (past) data

• pyfolio -library for performance and risk analysis of financial portfolios developed by Quantopian.
• finquant -program for financial portfolio management, analysis and optimisation.

• uvicorn - lightin-fast ASGI server implementation
• gunicorn - Python WSGI HTTP Server for UNIX
• celery - simple, flexible, distributed task queue

• requests - elegant and simple HTTP library for Python.
• boto3 - Amazon Web Services (AWS) SDK for Python. it enables Pythn developers to create, configure, and manage AWS services, such as EC2 and S3.
• urllib3 - powerful, user-friendly HTTP client for python.
• websocket-client - websocket client for python. This provide the low level APIs for WebSocket.
• websockets - library for building WebSocket servers and clients in Python.

• beautifulsoup4 -library for screen-scraping.
• pendulum - package to assist with date and time manipulation.
• click - package for creating beautiful command line interfaces in a composable way with as little code as necessary.
• passlib - password hashing library.
• Tkinter - Libary to construct dynamic Graphical User Interfaces.

• tensorflow - open source library to help develop and train ML modelslibrary for screen-scraping.
• scikit-learn - machine learning library.
• keras - deep learning framework.
• pytorch - optimized tensor library for deep learning using GPUs and CPUs.
• opencv-python - open source computer vision library

As working experience increases and time passes, I will keep updated this Overview on the tools that I am able to manage;