AI · alternatives · 2026
24 alternatives to Eunomia, Open Source Data Governance for LLM-Based Applications
Like many of you, we've spent the last two years dealing with requests to sprinkle LLM-powered features everywhere. One recurring problem we faced in almost every project was related to data governance. In most cases, it was extremely hard to implement the needed granular control over the retrieved data. We developed custom solutions each time, but when we realized most of the solutions could be reused in subsequent projects, we started thinking about creating a modular framework. Today we're releasing that framework! We've already built some modules using open-source solutions such as…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Eunomia, Open Source Data Governance for LLM-Based Applications launched in 2024; newer entries below may have overtaken it.
- 1
Hey HN, I am the founder of Tensorlake. Prototyping LLM applications have become a lot easier, building decision making LLM applications that work on constantly updating data is still very challenging in production settings. The systems engineering problems that we have seen people face are - 1. Reliably process ingested content in real time if the application is sensitive to freshness of information. 2. Being able to bring in any kind of model, and run different parts of the pipeline on GPUs and CPUs. 3. Fault Tolerance to ingestion spike, compute infrastructure failure. 4. Scaling compute,…
2024 · getindexify.ai · its alternatives →
- 2
Hi everyone, we’re a small team, supported by Mozilla, who are working on re-imagining a UI for training, tuning and testing local LLMs. Everything is open source. If you’ve been training your own LLMs or have always wanted to, we’d love for you to play with the tool and give feedback on what the future development experience for LLM engineering could look like.
2025 · github.com · its alternatives →
- 3
Hi HN, we're Ashpreet, Eli and Yash and we're excited to share Phidata: a collection of AI Apps built with open-source tools. While helping teams build AI products, we built templates for spinning up LLM Apps quickly. Today we're open-sourcing our templates for building: - RAG LLM Apps - Autonomous LLM Apps - Multimodal LLM Apps - Data Engineering LLM Apps Templates are built with FastApi for serving, Streamlit for prototyping, PgVector for vectors and PosgreSQL for storage. Run them locally using docker and in production on AWS - with 1 command. - Github:…
2023 · github.com · its alternatives →
- 4
Synthetic data generation is an essential step in training and evaluating LLMs/Agents/RAG pipelines, but tooling around this is still lacking. We're introducing Curator, an open-source library designed to streamline the data curation process. While there are many libraries to prompt LLMs, the semantics of generating synthetic data is different from prompting. For example, we need to process a large number of prompts (sometimes in millions or more) while accepting some failures, utilize several stages of prompting, incorporate human feedback, and filter out bad data using verifiers…
2025 · github.com · its alternatives →
- 5
Self-hosted PII firewall for LLMs — policies, audit trail
Jun 2026 · github.com · its alternatives →
- 6
Hey HN! Over the past few weeks, I’ve been working on DataBridge, an open-source solution for data ingestion and querying across text, PDFs, images, and videos. In our latest update, we’ve added a fully local deployment option: - No internet required – Runs entirely offline. - Customizable Models – Supports any LLM and embedding model via Ollama (with options for any other private providers) - Extensibility – You can plug in your own models or tools easily. This local-first approach ensures better privacy, security, and flexibility, especially for teams dealing with sensitive data. You can…
2025 · github.com · its alternatives →
- 7
A few months ago I was working on a flight search engine that would include pet transport costs (I know a few by hearth but storing them and make the calculations in the UI would be nice) While I was collecting pet pricing from several airlines I strugled to extract data in a common format without hallucinated values. That's when I thought: What if I use multiple LLMs and take the most common response to improve accuracy? This idea became this new project. You provide your documents, an SQLModel schema, an LLM provider, plus what you'd like to extract and Extrai does the rest. Including…
Nov 2025 · github.com · its alternatives →
- 8
KillSaaS is my answer to subscription software in the AI era. I'm building this because I believe small teams can use modern AI tools to create free alternatives to giants like Figma and DocuSign in weeks, not years. We're creating a platform where developers vote on which SaaS to replace, then build it together as open source. wdyt?
2025 · kill-saas.com · its alternatives →
- 9
Here is a production-first Keras-inspired LM framework, built with the advice of François Chollet (ex-Google, creator of Keras and ARC-AGI), our technical advisor. This system have already been deployed in production with our clients (which is why we have already every LLMOps practice implemented). It is also compatible with Jupyter and Marimo to integrate seamlessly in you Data Scientists workflows. You can try the code examples online on HF space and you can find more information in the documentation and FAQ. If you have any feedback for us don't hesitate to join our discord! More releases…
2025 · github.com · its alternatives →
- 10
Hey HN, A few friends and I have spent the past 6 years or so developing a way to write data transformation code in a way that can easily adapt to changes in logic or data elements both upstream and downstream without the need major refactoring, regression testing, or re-orchestration. We decided to open source the project about two months ago and published a CLI tool after we realized how big of a task it was to take on incumbents like stored procedures, dbt, and psyspark. It is early days for our community and we are looking to grow and engage with others to poke holes and contribute…
2024 · github.com · its alternatives →
- 11
We’re building an open-source tool that makes it easy to expose secure, LLM-optimized APIs on top of your structured data—without manually designing endpoints or worrying about compliance. AI agents and LLM-powered applications need structured access to data, but traditional APIs and databases weren’t built with AI workloads in mind. Our tool automatically generates APIs that: - Filter out PII & sensitive data to comply with GDPR, CPRA, SOC 2, and other regulations. - Provide traceability & auditing, so AI apps aren’t black boxes, and security teams stay in control. - Optimize for AI…
2025 · github.com · its alternatives →
- 12
Token-efficiency linter for LLM prompts and payloads - ritenv/tokensift
Aug 2026 · github.com · its alternatives →
- 13
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 →
- 14
I've spent weeks curating technical implementation details of how companies are actually deploying LLMs and Generative AI in production. The database now contains over 300 case studies with detailed technical summaries (230,000+ words) focusing exclusively on architectural decisions, deployment patterns, and real engineering challenges. Key features: * Each case study is technically focused - no marketing fluff * 150+ entries from technical conference talks and panels (saving you 100+ hours of video watching) * Sophisticated filtering by technical stack, RAG implementations, monitoring…
2024 · zenml.io · its alternatives →
- 15IB
Hey HN, I've been working on something cool that I wanted to share with you all. It's called Viewpoint, an analytics tool for LLMs like OpenAI, Anthropic models, and Gemini. The idea came from the constant flood of new LLM models and the need to figure out which ones work best for my projects without breaking the bank. With viewpoint, I can track token usage, costs, latency(WIP), and traffic over time, making it easier to compare different models and see which ones perform best and save money. The tool works asynchronously, so it doesn't add any latency to your LLM requests, and you have…
2024 · viewpointhq.com · its alternatives →
- 16
I wanted to learn more about RAG implementations, so I built something to solve the constant digging through manuals whenever we play a game. It's fairly simplistic, but actually has worked pretty well for some of these conflicts. Everythings Open Source on GitHub if you're curious (or have ideas), and I'd love to hear feedback from fellow boardgamers!
2024 · gamegame.ai · its alternatives →
- 17
Hi HN, I'm excited to share Pandera, an open source framework for data testing, built for data scientists and ML engineers: https://www.union.ai/pandera I’ve been working with data and building models for a decade, and one of the biggest pain points for me is working with low-quality data. I got burned by incorrect data types and unexpected values so many times that I built a Pandera to help you safeguard your pipelines from silent data bugs. You can create schemas for your dataframe-like objects, which can be validated at run-time, in your unit tests via property-based…
2022 · pandera.readthedocs.io · its alternatives →
- 18
Hi HN, A few weeks ago, we stealth launched SEC Insights on Product Hunt and were thrilled to reach the top 5! What is SEC Insights? It harnesses the Retrieval Augmented Generation (RAG) capabilities of LlamaIndex to provide answers about SEC 10-K & 10-Q documents. The enthusiastic reception we received on Product Hunt prompted us to open-source our project. Now, developers can use our project either as a reference or they can fork it entirely for their LLM-powered applications. We at LlamaIndex built this to help developers move their LLM app ideas from prototype to production. We're very…
2023 · github.com · its alternatives →
- 19
Hey HN! We are building Thand, an open-source, distributed platform for Just-in-Time (JIT) access, authorization (PAM), and provisioning. Why? I’ve been at various companies now; either having to raise tickets, waiting on internal processes to get access to systems, resources or SaaS tools. Or, having extremely elevated accounts all in one place and as a single point of failure when services go down just as you need them. None of the available PAM tools seemed easy to work with, so it got me seeking an alternative. What is Thand? Thand is a lightweight, open source and self-hosted agent that…
Nov 2025 · github.com · its alternatives →
- 20EY
Hey HN, We're thrilled to introduce you to Edginary, our new groundbreaking startup set to change how developers access and scale their data globally. We've all felt the pain points of dealing with centralized data sources: performance bottlenecks, reliability issues, and the dreaded revenue loss due to downtime. Edginary is here to tackle these issues head-on. Edginary is a serverless platform that moves your data close to your users in real-time so they can access it in ultra low-latency. By reducing the load on your servers and databases, we aim to not only improve performance and…
2024 · edginary.io · its alternatives →
- 21OS
2023 · sugarcaneai.dev · its alternatives →
- 22
Hello everyone, I have always loved coding and in the couple I was thinking of making an open source project and it turned out to be awesome I hope you guys like it. I present Explore Singapore which I created as an open-source intelligence engine to execute retrieval-augmented generation (RAG) on Singapore's public policy documents and legal statutes and historical archives. The objective required building a domain-specific search engine which enables LLM systems to decrease errors by using government documents as their exclusive information source. What my Project does :- basically it…
Feb 2026 · github.com · its alternatives →
- 23
Disclaimer it is a heavily AI assisted project. The goal was not to be the most performative but the kind that's easier to learn from. I wanted to share this in case there are people who had the same idea or wanted to see something like this.
Jun 2026 · github.com · its alternatives →
- 24
Hi HN, I've been working with LLMs in production for a while both as a solo dev building apps for clients and working at an AI startup. The one thing that always was a pain was to pay OpenAI/Gemini/Anthropic a few dollars a month just for me to say "test" or have a CI runner validate some UI code. So I built this server called ChunkBack, that mocks the popular llm provider's functionality but allows you to type in a deterministic language: `SAY "cheese"` or `TOOLCALL "tool_name" {} "tool response"` I've had to work in some test environments and give good results for experimenting…
Nov 2025 · github.com · its alternatives →
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- Open-source real time data framework for LLM applications alternatives
- Open-Source Alternative to OpenAI Platform, for Local Models alternatives
- A collection of AI Apps built with open-source tools alternatives
- Curator – an open-source library for synthetic data generation alternatives
- LLM Governance Engine alternatives
- I built an offline open-source RAG system DataBridge alternatives
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 →