mochi
tablepilot
mochi | tablepilot | |
---|---|---|
10 | 4 | |
285 | 72 | |
34.7% | - | |
9.7 | 9.6 | |
6 days ago | about 1 month ago | |
Go | Go | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mochi
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LLMs as Compilers
Totally agree. It is why we're building Mochi, https://github.com/mochilang/mochi a small language that treats AI, datasets, and graph queries as first-class citizens, not just targets for code generation.
It's inspired by the evolution you mentioned: early compilers generating Assembly, now AI tools generating Python or SQL. Mochi leans into that by embedding declarative data queries, AI generation, and streaming logic directly into the language. Here is how it looks:
type Person {
- Adding SQLLogicTest Support to Mochi
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Ask HN: What Are You Working On? (June 2025)
Repo: https://github.com/mochilang/mochi
I'm building Mochi, a small programming language with a custom VM and a focus on querying structured data (CSV, JSON, and eventually graph) in a unified and lightweight way.
It started as an experiment in writing LINQ-style queries over real datasets and grew into a full language with:
* declarative queries built into the language
- Mochi v0.10.5: A LINQ-style query language with a bytecode VM written in Go
- Mochi 0.9.1: A readable VM for learning compilers and bytecode
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Implementing Logic Programming
- FFI bindings to expose `fact`, `rule`, and `query` to scripts
Example: [https://chatgpt.com/share/cd\_684d3e3c59c08191b20c49ad97b66e...](https://chatgpt.com/share/cd_684d3e3c59c08191b20c49ad97b66e0...)
Total implementation was \~250 LOC. Genuinely amazed how effective the LLM was at helping bootstrap a real logic layer in one go.
The PR is here https://github.com/mochilang/mochi/pull/616
- Mochi is a small, statically typed programming language
- Mochi Programming Language v0.7.0 β calling Python and Go in one file
- Mochi Programming Language v0.6.0 β LINQ syntax for querying datasets
- Mochi β programming language built using OpenAI Codex
tablepilot
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Ask HN: What are you working on? (May 2025)
Prepare to release https://github.com/Yiling-J/tablepilot v0.4.0, new workflow feature
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Create and edit images with Gemini 2.0 in preview
I generated 100 recipes with images using gemini-2.0-flash and gemini-2.0-flash-exp-image-generation as a demo of text+image generation in my open-source project: https://github.com/Yiling-J/tablepilot/tree/main/examples/10...
You can see the full table with images here: https://tabulator-ai.notion.site/1df2066c65b580e9ad76dbd12ae...
I think the results came out quiet well. Be aware I don't generate a text prompt based on row data for image generation. Instead, the raw row data(ingredients, instructions...) and table metadata(column names and descriptions) are sent directly to gemini-2.0-flash-exp-image-generation.
- Show HN: Generate 100 recipes with images using Tablepilot
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Show HN: I vibecoded a 35,000 LoC recipe app
I think the recipes on your site are AI-generated? If you're looking to generate a large number of recipes, I highly recommend my tool: https://github.com/Yiling-J/tablepilot. It's specifically designed for this kind of task. Don't forget to check out the examples folder, I use recipes as examples a lot.
What are some alternatives?
LangGraph-Swift - π LangGraph for Swift. A library for building stateful, multi-actor applications with LLMs, built to work jointly with langchain-swift
git-ai-tools - A collection of AI-powered tools for Git, making your Git workflow easier.
secai - Platform for AI Agents with a local reasoning layer
polaris - Distributed AI Agent Framework
opennars - OpenNARS for Research 3.0+
casibase - β‘οΈAI Cloud OS: Open-source enterprise-level AI knowledge base and MCP (model-context-protocol)/A2A (agent-to-agent) management platform with admin UI, user management and Single-Sign-Onβ‘οΈ, supports ChatGPT, Claude, Llama, Ollama, HuggingFace, etc., chat bot demo: https://ai.casibase.com, admin UI demo: https://ai-admin.casibase.com