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Tensors and Dynamic neural networks in Python with strong GPU acceleration
Universal memory layer for AI Agents; Announcing OpenMemory MCP - local and secure memory management.
YDB is an open source Distributed SQL Database that combines high availability and scalability with strong consistency and ACID transactions
Conductor is an event driven orchestration platform providing durable and highly resilient execution engine for your applications
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many mo…
An open-source AI agent that brings the power of Gemini directly into your terminal.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Efficient reliable UDP unicast, UDP multicast, and IPC message transport
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Financial data platform for analysts, quants and AI agents.
Runtime Security Enforcement System. Workload hardening/sandboxing and implementing least-permissive policies made easy leveraging LSMs (LSM-BPF, AppArmor).
Opensource IDE For Exploring and Testing API's (lightweight alternative to Postman/Insomnia)
All Algorithms implemented in Python
Open-Source API Development Ecosystem • https://hoppscotch.io • Offline, On-Prem & Cloud • Web, Desktop & CLI • Open-Source Alternative to Postman, Insomnia
Newsletter to help busy software engineers become good at system design 👇
We write your reusable computer vision tools. 💜
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Python toolkit for quantitative finance
🔥🔥🔥 Open source Reverse ETL - alternative to hightouch and census.
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
HFTFramework utilized for research on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "