Dev tools · alternatives · 2026

24 alternatives to Broq

Scratch for LLMs

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

1
My LLM CLI tool can run tools now, from Python code or plugins▲529
LLM 0.26 is out with the biggest new feature since I started the project: support for tools. You can now use the LLM CLI tool—and Python library—to grant LLMs from …
2025 · simonwillison.net · its alternatives →
2
qqqa – A fast, stateless LLM-powered assistant for your shell▲165
I built qqqa as an open-source project, because I was tired of bouncing between shell, ChatGPT / the browser for rather simple commands. It comes with two binaries: qq and qa. qq means "quick question" - it is read-only, perfect for the commands I always forget. qa means "quick agent" - it is qq's sibling that can run things, but only after showing its plan and getting an approval by the user. It is built entirely around the Unix philosophy of focused tools, stateless by default - pretty much the opposite of what most coding agent are focusing on. Personally I've had the best experience…
Nov 2025 · github.com · its alternatives →
3
Lathe – Use LLMs to learn a new domain, not skip past it▲402
Hey HN! Lathe is an experiment in using LLMs to teach me something new, instead of doing the work for me. It generates a hands-on, source-backed tutorial for any technical topic you want to learn. Then you work through it yourself by reading and typing the code by hand (gasp) in a local UI built for exactly that. It's a Go CLI plus LLM agent skills (Claude Code / Cursor / Codex). You prompt something like "/lathe build a 3D slicer in Erlang", run `lathe serve` to spin up a local webapp, and read it in your browser. Every tutorial comes with the things that have made…
Jun 2026 · github.com · its alternatives →
4
GritQL, a Rust CLI for rewriting source code▲280
Hi everyone! I’m excited to open source GritQL, a Rust CLI for searching and transforming source code. GritQL comes from my experiences with conducting large scale refactors and migrations. Usually, I would start exploring a codebase with grep. This is easy to start with, but most migrations end up accumulating additional requirements like ensuring the right packages are imported and excluding cases which don’t have a viable migration path. Eventually, to build a complex migration, I usually ended up having to write a full codemod program with a tool like jscodeshift. This comes with its own…
2024 · github.com · its alternatives →
5
Demystifying Advanced RAG Pipelines▲131
I've built an advanced RAG (Retrieval-Augmented Generation) pipeline from scratch to demystify the complex mechanics of modern LLM-powered Question Answering systems. This repository features: -- An implementation of a sub-question query engine from scratch to answer complex user questions. -- Illustrative explanations that unveil the inner workings of the system. -- An analysis of the challenges I faced while working with the system, like prompt engineering and cost estimation. -- Qualitative comparison with similar frameworks like LlamaIndex, offering a broader perspective. Key Takeaway:…
2023 · github.com · its alternatives →
6
QwQ-32B▲197
Matching R1 reasoning yet 20x smaller
2025 · huggingface.co · its alternatives →
7
BenchLLM by V7▲133
Test-driven development for LLMs
2023 · benchllm.com · its alternatives →
8
Yet another memory system for LLMs▲165
Built this for my LLM workflows - needed searchable, persistent memory that wouldn't blow up storage costs. I also wanted to use it locally for my research. It's a content-addressed storage system with block-level deduplication (saves 30-40% on typical codebases). I have integrated the CLI tool into most of my workflows in Zed, Claude Code, and Cursor, and I provide the prompt I'm currently using in the repo. The project is in C++ and the build system is rough around the edges but is tested on macOS and Ubuntu 24.04.
2025 · github.com · its alternatives →
9
ChainForge, a visual tool for prompt engineering and LLM evaluation▲177
Hi HN! We’re been working hard on this low-code tool for rapid prompt discovery, robustness testing and LLM evaluation. We’ve just released documentation to help new users learn how to use it and what it can already do. Let us know what you think! :)
2023 · chainforge.ai · its alternatives →
10
LLM, a Rust Crate/CLI for CPU Inference of LLMs (LLaMA, GPT-NeoX, etc.)▲45
G'day, HN! I'm one of the maintainers of `llm`. I've been working alongside a trusty group of contributors to bring this project to life, and we're now at a point where we're ready to share it with the world. Large language models (LLMs) are taking the computing world by storm due to their emergent abilities that allow them to perform a wide variety of tasks, including translation, summarization, code generation, and even some degree of reasoning. However, the ecosystem around LLMs is still in its infancy, and it can be difficult to get started with these models. `llm` is a one-stop shop for…
2023 · github.com · its alternatives →
11
Marvin – build AI functions that use an LLM as a runtime▲127
Hey HN! We're excited to share our new open-source project, Marvin. Marvin is a high-level library for building AI-powered software. We developed it to address the challenges of integrating LLMs into more traditional applications. One of the biggest issues is the fact that LLMs only deal with strings (and conversational strings at that), so using them to process structured data is especially difficult. Marvin introduces a new concept called AI Functions. These look and feel just like regular Python functions: you provide typed inputs, outputs, and docstrings. However, instead of relying on…
2023 · github.com · its alternatives →
12
Dabarqus▲92
Add PDF chat to your LLM app in less than 9 lines of code
2024 · dabarqus.com · its alternatives →
13
Qq: like jq, but can transcode between many formats▲115
qq is jq inspired interoperable config format transcoder with interactive querying. It features an optional interactive editor with autocomplete for structured data. And supports inputs and outputs for json, xml, ini, toml, yaml, hcl, tf, and csv to varying degrees of capability.
2024 · github.com · its alternatives →
14
GitGuessr▲98
I built this game as a playful way to train code reading skills. You're dropped into a random location in a real GitHub repo where some lines code are hidden. The goal is to pick up clues from the surrounding code and fill in the missing lines as quickly as possible. It currently has curated game content for Python, TypeScript, JavaScript (by most metrics the top 3 languages on GitHub). I had the idea when it dawned on me that reviewing and understanding code spat out by an LLM is a key skill for the AI era. (I sincerely hope you're critically reviewing what your favorite LLM is serving…
Feb 2026 · gitguessr.com · its alternatives →
15
Build AI DAGs with Memory; Run and Validate LLM Tools in Containers▲48
I am working on a modular open source framework called Griptape that allows Python developers to create LLM pipelines and DAGs for complex workflows that use rules and memory. Griptape can be thought of as "Airflow for LLMs," providing an alternative to the agent-based LangChain approach. Developers can also build reusable LLM tools with explicit JSON schemas that can be executed in any environment (local, containerized, cloud, etc.) and integrated into Griptape workflows. They can also be easily converted into ChatGPT Plugin APIs and LangChain tools via adapters. Tools can be thought of as…
2023 · github.com · its alternatives →
16
finetune LLMs via the Finetuning Hub▲80
Hi HN community, I have been working on benchmarking publicly available LLMs these past couple of weeks. More precisely, I am interested on the finetuning piece since a lot of businesses are starting to entertain the idea of self-hosting LLMs trained on their proprietary data rather than relying on third party APIs. To this point, I am tracking the following 4 pillars of evaluation that businesses are typically look into: - Performance - Time to train an LLM - Cost to train an LLM - Inference (throughput / latency / cost per token) For each LLM, my aim is to benchmark them for…
2023 · github.com · its alternatives →
17
Bash4LLM+ – A lightweight, dependency-free Bash wrapper for LLM APIs▲60
Bash4LLM is a single-file Bash wrapper for interacting with LLMs from the terminal. I created it because I wanted something simple that worked without installing Python, Node, or any other runtime. It uses only Bash, curl, and jq. You can send prompts, start a small chat, process files line by line, stream output, and save session metadata in JSON format. I tried to make it safe and predictable: no use of the system /tmp, no use of eval. Groq is supported by default, and other providers can be added with dedicated Bash scripts in the extras/providers/ folder. Example: echo…
Jun 2026 · github.com · its alternatives →
18
LLQL▲4
A tool to run SQL query with pattern matching on LLVM IR/BC
2024 · github.com · its alternatives →
19PB
PipeSQL – Building SQL queries bottom-up using pipes and filters▲36
2014 · pipesql.com · its alternatives →
20
TurboPilot: Copilot clone runs code completion LLM on your CPU▲37
Hi HN, I spent my easter weekend stuck in the house with COVID and I decided to play with llama.cpp [1] and fauxpilot [2] to see if I could get LLM code assist working on pure CPU. As a proof of concept I'd say I've proven that it's possible. However there's still a lot to do. The auto complete is quite slow at the moment. PRs welcome. [1] https://github.com/ggerganov/llama.cpp [2] https://github.com/fauxpilot/fauxpilot
2023 · github.com · its alternatives →
21IG
Interactive Graph by LLM (GPT-4o)▲45
Data automation and visualization platform for spreadsheet users.
2024 · columns.ai · its alternatives →
22
Haquery – jQuery for Haskell▲47
jQuery for Haskell. Contribute to crufter/haquery development by creating an account on GitHub.
2013 · github.com · its alternatives →
23
LLM-Term – Simple Rust-based CLI assist tool▲32
Current AI-assisted CLI tools are often part of larger systems and work better on Linux. I built llm-term to address these. It's a Rust-based tool that compiles into a single binary file. You only need to download the binary, add it to your PATH, and configure your OpenAI key to get started. While llm-term offers an option for gpt-4o, it works great with gpt-4o-mini. So it's not costly. I appreciate any feedback or suggestions.
2024 · github.com · its alternatives →
24
Graph-Based Editor for LLM Workflows▲8
Hey HN, We’re excited to share PySpur, an open-source tool that provides a graph-based interface for building, debugging, and evaluating LLM workflows. Why we built this: Before this, we built several LLM-powered applications that collectively served thousands of users. The biggest challenge we faced was ensuring reliability: making sure the workflows were robust enough to handle edge cases and deliver consistent results. In practice, achieving this reliability meant repeatedly: 1. Breaking down complex goals into simpler steps: Composing prompts, tool calls, parsing steps, and branching…
2024 · github.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →