Dev tools · alternatives · 2026
24 alternatives to Automatically extract data from APIs with dlt and OpenAPI
Hi Show HN, we are Dave, Marcin, Alena, and Adrian, authors of data load tool (dlt), a Python library that automatically creates datasets from any kind of messy, unstructured data. We launched dlt on HN 7 months ago with a mission to make getting datasets fast and easy. Now dlt helps its users to code around a thousand new data sources each month and to maintain many thousands of live datasets in production. Today we are releasing *dlt-init-openapi,* a Python CLI tool that generates a dlt data pipeline from any OpenAPI spec. It brings the time to create a dataset down to a few minutes.…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Automatically extract data from APIs with dlt and OpenAPI launched in 2024; newer entries below may have overtaken it.
- 1
Hi HN, We're Anna, Adrian, Marcin and Matt, developers of dlt. dlt is an open source library to automatically create datasets out of messy, unstructured data sources. You can use the library to move data from about anywhere into most of well known SQL and vector stores, data lakes, storage buckets, or local engines like DuckDB. It automates many cumbersome data engineering tasks and can by handled by anyone who knows Python. Here’s our Github: https://github.com/dlt-hub/dlt Here’s our Colab demo:…
2023 · colab.research.google.com · its alternatives →
- 2
Effortlessly discover API behaviour with a Chrome extension that automatically generates OpenAPI specifications in real time for any app or website.
2023 · github.com · its alternatives →
- 3
Transform unstructured data into actionable data, instantly
2024 · portday.com · its alternatives →
- 4DA
Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…
2020 · its alternatives →
- 5
Generate, edit, lint & test your API workflow in one place
2025 · app.getelva.ai · its alternatives →
- 6
Public datsets made with https://getomni.ai/. Contribute to getomni-ai/datasets development by creating an account on GitHub.
2024 · github.com · its alternatives →
- 7
Ditch your scraper. Make one API call with any tool.
Jun 2026 · tabstack.ai · its alternatives →
- 8AG
Hey HN, We just shipped a new AI-powered feature... BUT the "AI" piece is largely in the background. Instead of relying on a chatbot, we've integrated AI (with strict input & output guardrails) into a workflow to handle two specific tasks that would be difficult for traditional programming: 1. Identifying the most relevant base URL from HAR files, since it would be tedious to cover every edge case or scenario to omit analytics, tracking, and other network noise. 2. Generating synthetic data for API requests by passing the API context and faker-js functions to GPT-4. The steps are broken down…
2024 · docs.multiple.dev · its alternatives →
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I often find myself in situations where I need to extract some data from a website, either as one time thing or periodically (and then watch for changes). Maybe I'm tracking stocks, or a delivery, or I want to know when tickets become available to the local sauna; maybe a friend called and asked "can you get me all data from that website into a spreadsheet?" (this happens surprisingly often) I used to write one-off scripts for that, often with Python or JavaScript, but I noticed I spend about one minute getting the right CSS selectors, and then another 10 minutes setting the rest of the…
2024 · github.com · its alternatives →
- 10
Every data pipeline job I had to tackle required quite a few components to set up: - One tool to ingest data - Another one to transform it - If you wanted to run Python, set up an orchestrator - If you need to check the data, a data quality tool Let alone this being hard to set up and taking time, it is also pretty high-maintenance. I had to do a lot of infra work, and while this being billable hours for me I didn’t enjoy the work at all. For some parts of it, there were nice solutions like dbt, but in the end for an end-to-end workflow, it didn’t work. That’s why I decided to build an…
2024 · github.com · its alternatives →
- 11
Hey HN! We've developed OpenAPI AutoSpec, a tool for automatically generating OpenAPI specifications from localhost network traffic. It’s designed to simplify the creation of API documentation by just using your website or service, especially useful when you're pressed for time. Documenting endpoints one by one sucks. This project originated from us needing it at our past jobs when building 3rd-party integrations. It acts as a local server proxy that listens to your application’s HTTP traffic and automatically translates this into OpenAPI 3.0 specs, documenting endpoints, requests, and…
2024 · github.com · its alternatives →
- 12
FastOpenAPI is a library for generating and integrating OpenAPI schemas using Pydantic v2 and various frameworks (AioHttp, Django, Falcon, Flask, Quart, Sanic, Starlette, Tornado). - mr-fatalyst/fastopenapi
2025 · github.com · its alternatives →
- 13
Built a tool for transforming unstructured data into structured outputs using language models (with 100% adherence). If you're facing problems getting GPT to adhere to a schema (JSON, XML, etc.) or regex, need to bulk process some unstructured data, or generate synthetic data, check it out. We run our own tuned model (you can self-host if you want), so, we're able to have incredibly fine grained control over text generation. Repository: https://github.com/automorphic-ai/trex Playground: https://automorphic.ai/playground
2023 · automorphic.ai · its alternatives →
- 14
Orchest▲112An open source tool for creating data science pipelines
2020 · orchest.io · its alternatives →
- 15
Generate and share OpenAPI specs with AI
2025 · api.dev · its alternatives →
- 16
Parseflow.io▲130Hi HN, I've been in software engineering for over 10 years and I'm excited to share my latest project, Parseflow (https://parseflow.io). It's a AI data automation platform designed to simplify data extraction from documents and integrate it effortlessly with your go-to applications. Parseflow can handle a variety of document types, including PDFs, images, and scanned documents. This means you can easily extract data from invoices, receipts, contracts, and more. Once you've extracted the data, you can integrate it with a variety of applications, including Google Sheets, QuickBooks,…
2024 · parseflow.io · its alternatives →
- 17
I’ve been working on an open-source CLI tool called Dochia for a while now. The reason for building it: in microservices architectures, testing is repetitive: every service exposes APIs, and much of the testing process will share a similar set of test cases: negative inputs, boundary cases, encoding quirks, invisible characters. I wanted a tool that could automate this shared layer of testing instead of doing it manually across dozens of services. So what Dochia does: reads your OpenAPI spec; generates thousands of smart, edge-case payloads automatically and produces detailed reports with…
2025 · github.com · its alternatives →
- 18
Hey HN, I'm Adithya, a 20-year-old dev from India. I have been working with GenAI for the past year, and I've found it really painful to deal with the many different forms of data out there and get the best representation of it for my AI applications. That's why I built OmniParse—an open-source platform designed to handle any unstructured data and transform it into optimized, structured representations. Key Features: - Completely local processing—no external APIs - Supports ~20 file types - Converts documents, multimedia, and web pages to high-quality structured markdown - Table extraction,…
2024 · github.com · its alternatives →
- 19TA
An OpenAPI alternative to describe REST APIs for type-safe code generation.
2023 · typeapi.org · its alternatives →
- 20
The fastest way to build your data warehouse
2023 · weld.app · its alternatives →
- 21
Open-source, easily create ready-to-use ML models for NLP
2022 · github.com · its alternatives →
- 22
We built an open-source tool that scans your codebase and generates OpenAPI docs in minutes. Right now it supports Rails, Go, Python, and NodeJS frameworks, and we will keep adding more. It picks up routes, params, request bodies, and models directly from the code and outputs a clean OpenAPI spec you can drop into your workflow.
Nov 2025 · github.com · its alternatives →
- 23
A generator for OpenAPI 3. Contribute to egorsmkv/openapi3-generator development by creating an account on GitHub.
2020 · github.com · its alternatives →
- 24
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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 →