#rust #mtonga #rust #tolk #ton #ton_blockchain #tooling
Acton is a Rust-based CLI toolkit for TON smart contracts, handling project creation, building, testing, debugging, deploying, and more in one tool. Install easily via curl script, downloads for macOS/Linux, or Docker. Start with `acton new` for templates, build/test/deploy to testnet quickly. Benefits: Saves time with fast native speed, Tolk support, dApp templates, advanced testing (fuzzing, coverage), and browser UI—streamlining your full dev lifecycle without tool juggling.
https://github.com/ton-blockchain/acton
Acton is a Rust-based CLI toolkit for TON smart contracts, handling project creation, building, testing, debugging, deploying, and more in one tool. Install easily via curl script, downloads for macOS/Linux, or Docker. Start with `acton new` for templates, build/test/deploy to testnet quickly. Benefits: Saves time with fast native speed, Tolk support, dApp templates, advanced testing (fuzzing, coverage), and browser UI—streamlining your full dev lifecycle without tool juggling.
https://github.com/ton-blockchain/acton
GitHub
GitHub - ton-blockchain/acton: Toolchain for TON smart contract development and beyond
Toolchain for TON smart contract development and beyond - ton-blockchain/acton
#swift #cpp #csharp #go #ios #java #lightweight #nodejs #on_device #python #rust #swift #text_to_speech #tts #web
Supertonic is a fast, lightweight text-to-speech system that runs directly on your device without needing the internet or cloud services. It supports 31 languages and works across phones, computers, browsers, and other platforms. The system is small enough to run on devices like Raspberry Pi while staying accurate and quick. You get complete privacy since everything happens locally on your device, and you can use it for free with no network dependency. It handles complex text like phone numbers and currency amounts better than many larger systems.
https://github.com/supertone-inc/supertonic
Supertonic is a fast, lightweight text-to-speech system that runs directly on your device without needing the internet or cloud services. It supports 31 languages and works across phones, computers, browsers, and other platforms. The system is small enough to run on devices like Raspberry Pi while staying accurate and quick. You get complete privacy since everything happens locally on your device, and you can use it for free with no network dependency. It handles complex text like phone numbers and currency amounts better than many larger systems.
https://github.com/supertone-inc/supertonic
GitHub
GitHub - supertone-inc/supertonic: Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX.
Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX. - supertone-inc/supertonic
#rust #agentic_coding #ai_coding #anthropic #claude_code #cli #command_line_tool #cost_reduction #developer_tools #llm #open_source #productivity #rust #token_optimization
RTK is a fast command-line proxy for AI tools that cuts token use by 60–90% by cleaning and shrinking command output before it reaches the model. It works with many tools and commands, including Git, tests, builds, and cloud tools, with very little delay. This helps you save money, keep responses shorter, and use AI coding tools more efficiently.
https://github.com/rtk-ai/rtk
RTK is a fast command-line proxy for AI tools that cuts token use by 60–90% by cleaning and shrinking command output before it reaches the model. It works with many tools and commands, including Git, tests, builds, and cloud tools, with very little delay. This helps you save money, keep responses shorter, and use AI coding tools more efficiently.
https://github.com/rtk-ai/rtk
GitHub
GitHub - rtk-ai/rtk: CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies - rtk-ai/rtk
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#typescript #ai_agent #ai_coding_agent #anthropic #bun #claude #cli #coding_assistant #llm #mcp #multi_provider #openai #rust #terminal #tui #typescript
omp is a coding agent with the IDE built in. It works on macOS, Linux, and Windows, and gives you many tools for reading, editing, searching, debugging, browser use, and subagents. It can use lots of AI providers and model choices, and it is made to work well right away with real coding tasks. The benefit for you is faster, more accurate coding help in one place, with less setup and fewer extra tools.
https://github.com/can1357/oh-my-pi
omp is a coding agent with the IDE built in. It works on macOS, Linux, and Windows, and gives you many tools for reading, editing, searching, debugging, browser use, and subagents. It can use lots of AI providers and model choices, and it is made to work well right away with real coding tasks. The benefit for you is faster, more accurate coding help in one place, with less setup and fewer extra tools.
https://github.com/can1357/oh-my-pi
GitHub
GitHub - can1357/oh-my-pi: ⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser…
⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more - can1357/oh-my-pi
#python #agents #ai #ai_agents #ai_engineering #computer_vision #course #deep_learning #from_scratch #generative_ai #llm #machine_learning #mcp #nlp #python #reinforcement_learning #rust #swarm_intelligence #transformers #tutorial #typescript
This is a free MIT learning guide for AI engineering with 428 lessons in 20 phases. It teaches you AI from the math up, then moves into machine learning, deep learning, LLMs, agents, tools, safety, and production. Each lesson helps you build useful code or AI tools, not just read theory. You can start at the right level, follow a clear path, and keep reusable artifacts for real work. The benefit is simple: you learn how AI actually works and gain practical skills you can use to build and ship better AI systems.
https://github.com/rohitg00/ai-engineering-from-scratch
This is a free MIT learning guide for AI engineering with 428 lessons in 20 phases. It teaches you AI from the math up, then moves into machine learning, deep learning, LLMs, agents, tools, safety, and production. Each lesson helps you build useful code or AI tools, not just read theory. You can start at the right level, follow a clear path, and keep reusable artifacts for real work. The benefit is simple: you learn how AI actually works and gain practical skills you can use to build and ship better AI systems.
https://github.com/rohitg00/ai-engineering-from-scratch
GitHub
GitHub - rohitg00/ai-engineering-from-scratch: Learn it. Build it. Ship it for others.
Learn it. Build it. Ship it for others. Contribute to rohitg00/ai-engineering-from-scratch development by creating an account on GitHub.
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#rust #analytics #bi #data_visualization #javascript #jupyter #python #real_time #webassembly
Perspective is a fast tool for exploring large and streaming data. It lets you build dashboards, reports, notebooks, and apps with tables and many chart types. It works in the browser, Python, and Rust, and can connect to data sources like DuckDB or Arrow. This helps you quickly see patterns, make better decisions, and analyze data without heavy setup.
https://github.com/perspective-dev/perspective
Perspective is a fast tool for exploring large and streaming data. It lets you build dashboards, reports, notebooks, and apps with tables and many chart types. It works in the browser, Python, and Rust, and can connect to data sources like DuckDB or Arrow. This helps you quickly see patterns, make better decisions, and analyze data without heavy setup.
https://github.com/perspective-dev/perspective
GitHub
GitHub - perspective-dev/perspective: A data visualization and analytics component, especially well-suited for large and/or streaming…
A data visualization and analytics component, especially well-suited for large and/or streaming datasets. - perspective-dev/perspective
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#rust #document_ocr #document_processing #ocr #ocr_recognition #pdf #pdf_parser #text_extraction
LiteParse is a fast, local PDF parser that extracts text with bounding boxes, can use OCR, and works in Rust, Python, Node.js, and the browser. It also makes screenshots and can handle files like DOCX, XLSX, PPTX, and images after conversion. Benefit: you can turn documents into clean text or JSON on your own machine, which helps with private, quick, and structured document processing.
https://github.com/run-llama/liteparse
LiteParse is a fast, local PDF parser that extracts text with bounding boxes, can use OCR, and works in Rust, Python, Node.js, and the browser. It also makes screenshots and can handle files like DOCX, XLSX, PPTX, and images after conversion. Benefit: you can turn documents into clean text or JSON on your own machine, which helps with private, quick, and structured document processing.
https://github.com/run-llama/liteparse
GitHub
GitHub - run-llama/liteparse: A fast, helpful, and open-source document parser
A fast, helpful, and open-source document parser. Contribute to run-llama/liteparse development by creating an account on GitHub.
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#rust
MXC is a sandbox system that runs untrusted code safely on Windows, Linux, and macOS with shared JSON settings and a TypeScript SDK. It helps you control files, network access, and UI use while giving you a safer way to test or run code; this can protect your computer and make automation easier to build. The project is still early preview, so its security rules are not yet final and should not be treated as fully trusted security boundaries.
https://github.com/microsoft/mxc
MXC is a sandbox system that runs untrusted code safely on Windows, Linux, and macOS with shared JSON settings and a TypeScript SDK. It helps you control files, network access, and UI use while giving you a safer way to test or run code; this can protect your computer and make automation easier to build. The project is still early preview, so its security rules are not yet final and should not be treated as fully trusted security boundaries.
https://github.com/microsoft/mxc
GitHub
GitHub - microsoft/mxc: Policy-driven, layered isolation and containment
Policy-driven, layered isolation and containment . Contribute to microsoft/mxc development by creating an account on GitHub.
#rust #ai_pipelines #ai_workflows #durable_execution #durable_functions #durable_workflows #postgresql
This tool runs long SQL jobs inside PostgreSQL and saves progress after each step, so a crash, restart, or failed step does not force you to start over. It helps you replace extra workers, queues, cron jobs, and status tables with one SQL-based workflow, making background work simpler, more reliable, and easier to track in the same database as your data.
https://github.com/microsoft/pg_durable
This tool runs long SQL jobs inside PostgreSQL and saves progress after each step, so a crash, restart, or failed step does not force you to start over. It helps you replace extra workers, queues, cron jobs, and status tables with one SQL-based workflow, making background work simpler, more reliable, and easier to track in the same database as your data.
https://github.com/microsoft/pg_durable
GitHub
GitHub - microsoft/pg_durable: PostgreSQL in-database durable execution
PostgreSQL in-database durable execution. Contribute to microsoft/pg_durable development by creating an account on GitHub.
#python #ann #avx512 #embedding #embeddings #faiss #nearest_neighbor #neon #python #quant #quantization #rag #rust #simd #turboquant #vector_search
turbovec is a fast, local vector search tool that stores large embedding sets in much less memory, can search faster than FAISS in many cases, and works with Python and Rust. It helps you build private RAG systems because data stays on your machine, while online adding, filtering, and stable IDs make it easier to grow, control, and update your index without retraining or rebuilding.
https://github.com/RyanCodrai/turbovec
turbovec is a fast, local vector search tool that stores large embedding sets in much less memory, can search faster than FAISS in many cases, and works with Python and Rust. It helps you build private RAG systems because data stays on your machine, while online adding, filtering, and stable IDs make it easier to grow, control, and update your index without retraining or rebuilding.
https://github.com/RyanCodrai/turbovec
GitHub
GitHub - RyanCodrai/turbovec at opensourceprojects.dev
A vector index built on TurboQuant, written in Rust with Python bindings - RyanCodrai/turbovec