Open-source alternatives to Python Binance

Binance Connector Python is a client library that provides programmatic access to the Binance cryptocurrency exchange, enabling automated trading and asset management across spot, margin, futures, and options markets. The library wraps the exchange's REST and WebSocket APIs into a Python interface with type-hinted methods, HMAC and RSA authentication, and a unified request-response pipeline for consistent error handling and rate limiting. The connector supports a broad range of exchange operations beyond core trading, including sub-account management, wallet operations, and algorithmic order

XChange is a cryptocurrency exchange integration library and API wrapper that provides a unified interface for connecting to multiple cryptocurrency exchanges. It serves as a multi-exchange trading interface and a market data streamer, normalizing raw data from various providers into standardized data objects. The project distinguishes itself through an adapter-based normalization system and a reactive WebSocket streaming model designed to receive real-time price and volume updates while minimizing thread usage. It includes a dedicated authentication handler for managing API keys, request non

This project is a cryptocurrency exchange API documentation portal. It provides a technical reference for integrating with REST and WebSocket interfaces to trade digital assets and stream market data. The site serves as a REST API reference with schema-driven endpoint descriptions and request-response examples, alongside a WebSocket data stream guide for receiving live order book updates and price feeds. The documentation is implemented as a markdown-based static site featuring client-side search indexing and hierarchical navigation. It uses schema-driven content generation and linked asset

tqsdk-python is a quantitative trading SDK and framework designed for developing automated strategies for futures, options, and stocks using Python. It functions as an algorithmic trading engine and financial market data API, providing the tools necessary to backtest strategies, analyze historical data, and execute live trades across multiple brokerage accounts. The project distinguishes itself through a specialized option analytics library that calculates Greeks, implied volatility, and volatility surfaces using the Black-Scholes model. It further supports complex order execution patterns, s

Tribeca is a Node.js cryptocurrency trading platform designed for high-frequency trading and automated market making. It functions as a low-latency execution engine that automates the process of providing liquidity and capturing price spreads across multiple cryptocurrency exchanges. The system employs a connectivity layer to stream real-time market data and execute trades via persistent network connections. It uses an adapter-based integration to normalize diverse venue APIs into a unified format, allowing for coordinated activity across several different cryptocurrency venues. The platform

This library provides a unified interface for interacting with hundreds of global cryptocurrency exchanges. It serves as a standardized framework for building automated trading systems, allowing developers to fetch real-time market data, manage account balances, and execute orders across multiple financial platforms through a single, predictable set of methods. The project distinguishes itself by abstracting the complexities of diverse exchange-specific application programming interfaces into a consistent internal schema. It includes a modular authentication layer that automatically handles c

This project is an automated cryptocurrency trading platform for the Binance exchange. It functions as a technical analysis trading tool and grid trader, executing strategies and managing assets without manual intervention. The platform is distinguished by its multi-service containerized architecture, which orchestrates a listener, cache, and database. It utilizes a secure web dashboard for monitoring active trades and adjusting bot parameters, protected by password and token-based authentication. The system covers a broad range of trading capabilities, including grid and trailing order auto

Gekko is a Node.js trading platform and automated Bitcoin trading bot designed to execute buy and sell orders across multiple cryptocurrency exchanges. It functions as an algorithmic trading system that uses a standardized exchange integration gateway to connect with various external trading platforms. The system includes a backtesting engine that simulates trading strategies against historical market data to evaluate performance before live deployment. It employs an adapter-based integration model to normalize diverse exchange API responses into a consistent internal format. The platform pr

This project is a Python wrapper for the Lightweight Charts library, designed to render interactive, browser-based financial visualizations. It serves as a framework for building custom financial dashboards and interfaces that integrate live market feeds and historical data series. The library enables the construction of complex layouts by combining multi-pane charts, watchlists, and order entry tables into a single unified workspace. It supports real-time market monitoring by streaming live tick or bar data directly into active visualizations, allowing for incremental updates without requiri

Superalgos is a cryptocurrency algorithmic trading platform used for designing, backtesting, and deploying automated trading bots. It centers on a visual strategy designer that allows users to create indicators and trading logic through a graphical interface instead of writing manual code. The platform features a token-gated signal network that enables a decentralized marketplace for broadcasting and monetizing trading intelligence. Access to these signals and predictions is managed via digital tokens and reputation scores, while a distributed trading infrastructure allows users to coordinate

QuantMuse is an algorithmic trading platform and quantitative trading framework that integrates large language models with mathematical analysis to automate market insights and trading strategies. It functions as a system for building, backtesting, and executing strategies using both historical and real-time market data. The framework is distinguished by its use of large language models for financial analysis and sentiment extraction from news and social media. It utilizes autonomous agents with chain-of-thought reasoning to generate market intelligence and strategic reports, while employing

Beancount is a plain-text double-entry accounting system. It enforces zero-sum transactions, organizes accounts into a hierarchical five-type tree, and verifies balances at specific dates using precision-derived tolerances. Transactions are recorded in plain-text files with a strict syntax that supports currency-specific rounding, automatic interpolation of missing amounts, and comprehensive metadata including tags, links, and payee annotations. Beyond core bookkeeping, Beancount offers investment portfolio tracking with lot-based cost basis management, configurable booking strategies (FIFO,

rippled is a peer-to-peer node implementation for the XRP Ledger. It serves as a distributed ledger consensus engine and a blockchain API gateway, allowing servers to validate transactions and maintain a shared, immutable sequence of ledger state. The project features a built-in decentralized exchange engine capable of executing atomic cross-currency payments and managing order books. It includes an on-chain asset management system for issuing and controlling fungible tokens and NFTs, as well as a Byzantine Fault Tolerant system for coordinating validators. The platform provides comprehensiv

Zenbot is an automated cryptocurrency trading bot designed to execute trades on exchanges based on technical analysis and predefined risk parameters. It functions as a technical analysis engine that processes market data through mathematical indicators to generate actionable trade signals. The system includes a genetic algorithm strategy optimizer to automatically discover the most profitable parameter configurations. It provides multiple simulation environments, including a trading strategy backtester for replaying historical data and a paper trading simulator for testing strategies against

quant-wiki is a comprehensive knowledge base and structured reference for quantitative finance, financial engineering, and algorithmic trading. It serves as a centralized library of documentation covering mathematical models, financial instruments, and systematic trading strategies. The project integrates AI-driven capabilities through a modular retrieval-augmented generation framework that extracts structured data from research papers and news. It features a multi-agent workflow engine designed to discover and validate predictive alpha factors, alongside tools for local large language model

Chainlink is a decentralized oracle network that connects smart contracts to off-chain data, computation, and real-world systems. It provides a secure and reliable infrastructure for blockchain applications to access external information, execute automated workflows, and interact with other blockchains. The network is secured by a staking-based model where node operators lock LINK tokens as collateral, which can be slashed for poor performance, incentivizing honest and accurate data delivery. The platform distinguishes itself through a comprehensive set of capabilities that extend beyond basi

Hummingbot is an open-source framework designed for building, backtesting, and deploying autonomous trading agents and algorithmic strategies across centralized and decentralized cryptocurrency exchanges. It provides a modular environment where users can orchestrate containerized bots to execute complex market-making, grid trading, and arbitrage operations. The platform distinguishes itself through a skill-based architecture that integrates large language models, enabling users to monitor market conditions and control trading operations via natural language commands. It features a unified con

This project is an algorithmic trading engine designed for the automated execution of cryptocurrency strategies. It provides a modular execution core that connects to multiple centralized and decentralized exchanges, allowing users to deploy rule-based trading logic across various spot and futures markets. The platform serves as a comprehensive environment for the entire trading lifecycle, from initial strategy development to live market operations. What distinguishes this platform is its integrated suite for quantitative analysis and predictive modeling. It features a robust backtesting engi

The Hugging Face Hub Python client is a library that provides programmatic access to the Hugging Face Hub, a centralized platform for hosting and collaborating on machine learning models, datasets, and demo applications. It serves as the primary SDK for interacting with the Hub's API, enabling users to download and upload models and datasets, manage repositories, authenticate via tokens or OAuth, and run inference on hosted models through a unified interface. The client distinguishes itself through a comprehensive set of capabilities that go beyond basic file transfer. It includes a CLI exten

bypy is a Python client for interacting with Baidu Yun cloud storage via its official API. It functions as both a library for programmatic integration and a command-line manager for organizing and listing files within a cloud account. The project features a multi-process transfer tool that utilizes parallel processing to accelerate high-volume uploads and downloads. It provides bidirectional directory synchronization to align content between local file systems and remote cloud storage by identifying missing or outdated files. The tool covers recursive file transfers, automated cloud data bac

notion-py is a Python library that serves as an unofficial API client for interacting with Notion pages and databases. It functions as an object-relational mapper that translates Notion database tables and blocks into Python classes for structured data management. The project features a reactive synchronization layer that uses long-polling and callbacks to keep local Python objects updated with remote changes. It includes a thread-safe local data cache with disk persistence to reduce network requests and a converter for transforming Markdown text into formatted Notion content blocks and rich

This project is an open-source search data index and a collection of historical search trend data provided as a public trends archive. It serves as an open dataset for analyzing global patterns and events through downloadable files. The repository provides an aggregated index of anonymized and normalized search and media datasets. These resources are designed for academic and professional analysis, allowing for the study of longitudinal trends across different regions and timeframes. The data supports global search trend analysis, market pattern analysis, and public interest research. It ena

The FinanceToolkit is an open-source Python library for quantitative finance that provides a unified framework for financial analysis, asset valuation, and risk management. It serves as a comprehensive platform for computing over 200 financial metrics and ratios, with capabilities spanning financial ratio analysis, fixed income analytics, macroeconomic data aggregation, options pricing, and portfolio risk management. The toolkit distinguishes itself through a modular architecture that separates data retrieval from computation, with stateless engines for financial models like Black-Scholes, GA

This project is a Python client library for interacting with Google Maps web services to retrieve geospatial, routing, and place data. It provides a programmatic interface for developers to access geocoding, elevation, time zone, and point-of-interest services. The library implements automatic exponential backoff and request retries to handle intermittent server errors and rate limit exceedances. It manages communication through credential-based authentication and session-based connection pooling to reduce latency across repeated API calls. The capability surface covers bidirectional geocodi

The Google API Go Client Library is a collection of auto-generated Go packages designed to facilitate authenticated requests to Google services via HTTP and gRPC. It serves as an API request and response manager that converts API discovery documents into typed code to provide a consistent interface for interacting with various services. The library includes a dedicated OAuth 2.0 authentication client used to manage token lifecycles, handle service account credentials, and perform authorization flows. It supports identity impersonation, allowing a security context to assume the identity of a t

Akaunting is a modular business enterprise resource planning system and self-hosted accounting software. It provides a comprehensive platform for small business financial management, centering on a double-entry bookkeeping system with a general ledger and chart of accounts. The platform is designed for extensibility through a module-based architecture and a dedicated marketplace for procuring third-party applications. It supports multi-tenant data isolation and utilizes role-based access control to manage granular user permissions. Its capability surface covers a wide range of business opera