Dev tools · alternatives · 2026
24 alternatives to OneSparse – Open Source Accelerated Sparse Linear Algebra for Postgres
Accelerated Sparse Linear Algebra with Postgres and SuiteSparse - OneSparse/OneSparse
OneSparse is an open source library that accelerates sparse linear algebra operations within PostgreSQL databases. It is designed for developers and data scientists who need to perform computationally intensive… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. OneSparse – Open Source Accelerated Sparse Linear Algebra for Postgres launched in 2024; newer entries below may have overtaken it.
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Accelerated Sparse Linear Algebra with Postgres and SuiteSparse - OneSparse/OneSparse
2019 · github.com · its alternatives →
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AnyParser API▲885The first LLM for document parsing with accuracy and speed
2024 · cambioml.com · its alternatives →
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Fast, gpu-based CSV parser. Contribute to antonmks/nvParse development by creating an account on GitHub.
2015 · github.com · its alternatives →
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AnyParser▲271Accurate, private and configurable document retrieval LLM
2024 · cambioml.com · its alternatives →
- 5PPPapa Parse 3▲363
2014 · papaparse.com · its alternatives →
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Hi HN! We just released the public alpha version of Mathesar (https://mathesar.org/, code: https://github.com/centerofci/mathesar). Mathesar is an open source tool that provides a spreadsheet-like interface to a PostgreSQL database. I was originally inspired by wanting to build something like Dabble DB. I was in awe of their user experience for working with relational data. There’s plenty of “relational spreadsheet” software out there, but I haven’t been able to find anything with a comparable UX since Twitter shut Dabble DB down. We're a non-profit…
2023 · github.com · its alternatives →
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Algebraic enhancements for GEMM & AI accelerators. Contribute to trevorpogue/algebraic-nnhw development by creating an account on GitHub.
2024 · github.com · its alternatives →
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hi hn, hydra ceo here hydra is an open source, column-oriented postgres. you can set up remarkably fast aggregates on your project in minutes to query billions of rows instantly. postgres is great, but aggregates can take minutes to hours to return results on large data sets. long-running analytical queries hog database resources and degrade performance. use hydra to run much faster analytics on postgres without making code changes. data is automatically loaded into columnar format and compressed. connect to hydra with your preferred postgres client (psql, dbeaver, etc). following 4 months…
2023 · hydra-so.notion.site · its alternatives →
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In-memory Postgres for unit/E2E tests. Contribute to hexclave/pgmock development by creating an account on GitHub.
2024 · github.com · its alternatives →
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Powerful PostgreSQL tool is now open source for self-hosting
2021 · supabase.com · its alternatives →
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Vectorized executor to speed up PostgreSQL. Contribute to citusdata/postgres_vectorization_test development by creating an account on GitHub.
2014 · github.com · its alternatives →
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hi hn, hydra ceo here hydra is an open-source extension that adds columnar tables to Postgres for efficient analytical reporting. With Hydra, you can analyze billions of rows instantly without changing code. demo video (5 min): https://youtu.be/1yzxgb0Oyrw github repo: https://github.com/hydradatabase/hydra For 1.0 GA release, aggregate queries are over *60% faster* than Hydra beta due to aggregate vectorization. Spatial indexes (gin, gist, spgist, and rum indexes) and pg_hint_plan are now enabled for performance optimization. postgres is great, but…
2023 · hydra.so · its alternatives →
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SmartParse▲87Effortless data migration and onboarding for everyone
2024 · smartparse.io · its alternatives →
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Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…
2025 · github.com · its alternatives →
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Hi, I am David Kircos. The Founder of Quadratic (https://QuadraticHQ.com), an open-source spreadsheet application that supports Python, SQL (coming soon), AI Prompts, and classic Formulas. Unlike other spreadsheets, Quadratic has an infinite canvas (like Figma). As a result, you can pinch and zoom to navigate large data sets, and everything renders smoothly at 60fps. Our vision is to build a place where your team can collaborate on data analysis. You can write Python, AI Prompts, and Formulas in one spreadsheet feeding each other data and updating automatically. Quadratic is built…
2023 · quadratichq.com · its alternatives →
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A distributed, fast open-source graph database featuring horizontal scalability and high availability - GitHub - vesoft-inc/nebula: A distributed, fast open-source graph database featuring horizontal scalability and high availability
2020 · github.com · its alternatives →
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2025 · little-book-of.github.io · its alternatives →
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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 →
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Contribute to Z-Gort/Reservoirs-Lab development by creating an account on GitHub.
2024 · github.com · its alternatives →
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Hashed Lookup Table based Matrix Multiplication (halutmatmul) - Stella Nera accelerator - joennlae/halutmatmul
2023 · github.com · its alternatives →
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Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming.. - lance-format/lance
2023 · github.com · its alternatives →
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This C library is part of a main project aimed at providing a reactive key-value (KV) database. The data is typed (numbers, strings, dates, or booleans) and can include formulas with references to other entries. Clients connected to this database receive a real-time data stream with updates to the subscribed keys, allowing them to react to changes and their dependencies. Essentially, it’s like building a distributed Excel, where data and formulas dynamically update across the system. I couldn’t find any libraries that offered the full set of features I needed for evaluating expressions, so I…
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 →