Alternatives
Products that do what Open-source reverse ETL – for devs and analysts to show business impact does
Founder here. I want to show you Multiwoven - open-source Reverse ETL. I’ve spent close to two decades in jobs where data devs and business teams have been at loggerheads. Business balks at the long lead time for data requests or custom integrations. And data devs (or analysts/ops) hate the tediousness of these tasks. With the amount of data being captured and modeled only growing - Multiwoven’s been built for anyone to use the rapidly growing amounts of data in warehouses like Snowflake, BigQuery, Redshift, Postgres and Databricks - for easy preparation and sync to marketing, sales and…
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Hi HN Community, We have built the valmi.io open-source reverse-ETL platform. You can quickly check out a live demo sync by following the link on the GitHub page or at the bottom. Please try it out. You can also easily deploy it locally or schedule a run on the demo website. We are seeking feedback on the product. We have outlined a variety of use cases valmi.io currently supports on the blog. Currently, the engine supports 13+ connectors. The connectors are built using the airbyte protocol, and dagster is used as the orchestration engine. We will soon provide a detailed architecture…
2023 · github.com
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My team built this free open-source catalog that allows anyone to search through any data connector/source. There's a list of ETL providers for each so your analytics and BI projects can be as comprehensive as possible.
2022 · connectorcatalog.com
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2022 · weld.app
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As a software engineer, it's frustrating to see those who can't code stuck with spreadsheets as their most powerful data tool. This is especially true when there is such a thin layer that exists to access arbitrarily powerful data and AI/ML tools (typically just Python and pandas/SQL). I built Regrail last year to demonstrate a visual, procedural tool that abstracts the primitives of data engineering. It uses a block-based editor that allows users to see the changes they are making to tables step by step. You can think of it like a visual DAG builder. I believe that data literacy…
2023 · regrail.io
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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
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I've recently been working with real-time geoJSON data at a rate of 50+ queries per second. SaaS solutions can be prohibitively expensive at this rate, thus, I created go-reverse-geo. Data is pulled from geonames.org and is stored in MongoDB (a requirement of my current project). It is very much a work-in-progress (I wrote it this morning). Hope someone finds it useful. https://paranoia.dev/vivi/go-reverse-geo
2020
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Hey HN, here's the repo if you'd like to try it out: https://github.com/Kaelio/ktx Blog post here: https://www.kaelio.com/blog/open-source-anthropic-internal-d... Would love your feedback.
Jun 2026 · github.com
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I built an open-source research agent. You ask a question, it searches the web via Tavily, synthesizes an answer with an LLM, and shows the sources it used. Answers stream in real-time. The interesting part is the backend. It's a single JS file (~100 lines) that handles web search, LLM streaming, and per-user conversation history. No vector database, no Redis, no separate storage service. It runs inside a cell — an isolated environment with a built-in database, search index, and filesystem. The cell handles persistence and streaming natively, so the agent code only has to deal with the…
Apr 2026 · github.com
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I am a hardware engineer and security researcher and I've been wondering whether my work could be partially automated, so I can focus on other topics as well, so I build revenant - a LLM powered (Claude, OpenAI, local AI) toolkit that builds around radare2, ghidra etc and can fully automatically analyze firmware, implement open source skeletons incl. pinouts, hardware bringup, peripheral bringup etc. or can even 1:1 replicate existing firmware so old hardware can be resurrected with modern toolchains. Some applications are: - Give old hardware new life - Security Analysis of shady firmware…
Jun 2026
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Jun 2026 · github.com
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I built Hermes, an open-source Python framework for multi-agent financial research. Most AI “equity research” demos stop at generating text. In practice, real workflows require pulling structured XBRL financials from SEC filings, extracting labeled sections like MD&A and Risk Factors, merging macro and market data, building actual Excel models with formulas, and generating investment memos in Word or PDF. Hermes is designed to handle that full pipeline end to end. It includes 35 financial data tools covering SEC EDGAR (via edgartools), FRED, Yahoo Finance market data, and RSS-based financial…
Feb 2026 · github.com
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A couple of years ago, we had an interesting idea. When a development team within an organization consists of around 10 members or fewer, controlling the risks associated with database changes might be achieved through trust and real-time communication. However, as the team grows, the responsibilities within the team become more specialized. Imagine a scenario where different branches of the business exist, each with its own set of developers, team leads, testers, testing leads, DBAs, and more. Relying solely on traditional communication methods becomes increasingly challenging when it comes…
2023 · github.com
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2022 · go.instill.tech
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I got tired of the overhead required to run even a simple data analysis - cloud setup, ETL pipelines, orchestration, cost monitoring - so I built a fully local data-stack/IDE where I can write SQL/Py, run it, see results, and iterate quickly and interactively. You get data lake like catalog, zero-ETL, lineage, versioning, and analytics running entirely on your machine. You can import from a database, webpage, CSV, etc. and query in natural language or do your own work in SQL/Pyspark. Connect to local models like Gemma or cloud LLMs like Claude for querying and analysis. You…
Apr 2026 · stream-sock-3f5.notion.site
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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
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I wanted to share something I've been working on recently: Statum, a handy web analytics tool. https://github.com/extractumio/statum The journey began when I found myself frequently needing simple web analytics for my projects. I tried Google Analytics, especially GA4, and realized it was quite complex and, at times, not very accurate, especially when I wanted to view stats for the current day or recent hours. Then I tested a few fancy startup solution but ended up with way too expensive plans the expect me to subscribe (I'm not that rich to pay $99/month for every…
2023 · github.com
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Hey Hacker News! Last week we made the codebase for product 100% open source. This week we shipped a dashboard to manage connectors, as well as integrations with Google Drive, Zendesk, Notion, and Confluence. This means Sidekick is now the fastest way to sync data from these tools to a vector database. Why is this important? For developers building LLM apps, data integrations are often the least interesting and most time consuming part of the process. For those that don’t want to roll their own ETL, Sidekick is an opinionated tool that lets them get an API endpoint to run semantic searches…
2023 · app.getsidekick.ai
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My name is Victor, I’m Head of Product at DoubleCloud, a platform that helps data pros build sub-second data analytical solutions and pipelines on open-source technologies like ClickHouse, Apache Kafka, ETL and Business Intelligence services. Hearing from our users, we know how daunting it is to gather insights and try to make sense of all the charts, graphs and metrics, especially when you have to explain it to your business stakeholders. That’s why we’ve just launched our new feature — GPT-4 integrated into our platform’s BI tool. We all know how good ChatGPT is at summarizing texts. But…
2023 · double.cloud
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Hey everyone! I am excited to share updates on four of my & my teams' open-source projects that take large-scale search systems to the next level: USearch, UForm, UCall, and StringZilla. These projects are designed to work seamlessly together, end-to-end—covering everything from indexing and AI to storage and networking. And yeah, they're optimized for x86 AVX2/512 and Arm NEON/SVE hardware. USearch [1]: Think of it as Meta FAISS on steroids. It's now quicker, supports clustering of any granularity, and offers multi-index lookups. Plus, it's got more native bindings than probably…
2023 · usearch-images.com
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I built DevClaw, an OpenClaw plugin that turns each Telegram group into an isolated, autonomous dev team: planner/orchestrator, DEVs, and QA all running on their own. I use it for all my development now. Issues on GitLab/GitHub are the single source of truth, and three things compound to save around 70% on tokens: model tiering (Haiku for typos, Opus for architecture), session reuse across tasks, and token-free scheduling that burns zero LLM calls for orchestration. Please try it and give some feedback. Also keen to hear from anyone running autonomous coding agents, especially what…
Feb 2026 · github.com
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