Dev tools · alternatives · 2026
24 alternatives to Parsing CSV files with GPU
Fast, gpu-based CSV parser. Contribute to antonmks/nvParse development by creating an account on GitHub.
nvParse is a GPU-based CSV parser designed for developers who need to process large CSV files quickly. By leveraging GPU acceleration instead of traditional CPU processing, it handles data parsing at higher speeds than… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Parsing CSV files with GPU launched in 2015; newer entries below may have overtaken it.
- 1PPPapa Parse 3▲363
2014 · papaparse.com · its alternatives →
- 2
AnyParser API▲885The first LLM for document parsing with accuracy and speed
2024 · cambioml.com · its alternatives →
- 3

Fast C based HTML 5 parsing for python. Contribute to kovidgoyal/html5-parser development by creating an account on GitHub.
2017 · github.com · its alternatives →
- 4
AnyParser Pro▲602Parse multi-language images and documents into JSON/markdown
2025 · cambioml.com · its alternatives →
- 5
Parsers▲300Extract structured data and visualize it without code
2019 · parsers.me · its alternatives →
- 6

Hey folks! I know CSV parsers (especially in JS) aren't terribly exciting and someone writes a "better" one every week. I'm in the middle of my parental leave, and this was a project that came out of me looking for the fastest/smallest CSV parser. It all started so innocently, and then turned into a benchmark-validation-athon; the library itself took ~2 weeks to write, but the performance comparisons took another ~4 weeks (on and off). The benchmarks were a huge effort, but I think they are the most thorough to date, both in breadth and in depth, so hopefully you find them useful:…
2023 · github.com · its alternatives →
- 7

- 8

- 9

I built CSV GB+ by Data.olllo, a local data tool that lets you open, clean, and export gigabyte-sized CSVs (even billions of rows) without writing code. Most spreadsheet apps choke on big files. Coding in pandas or Polars works—but not everyone wants to write scripts just to filter or merge CSVs. CSV GB+ gives you a fast, point-and-click interface built on dual backends (memory-optimized or disk-backed) so you can process huge datasets offline. Key Features: Handles massive CSVs with ease — merge, split, dedup, filter, batch export Smart engine switch: disk-based "V Core" or RAM-based "P…
2025 · apps.microsoft.com · its alternatives →
- 10

CUDA is NVIDIA's language for GPU programming, allowing you to mix write CPU and GPU code in C++ in one file. By chaining a few projects that compile CUDA to OpenCL, then Vulkan, then WebGPU, you can experiment with this GPGPU language on any hardware.
2025 · hipscript.lights0123.com · its alternatives →
- 11
Megaparse [LW24]▲289Open-source Document Parser to Markdown with OCR/LLMs
2024 · megaparse.com · its alternatives →
- 12

A C++ HTML template engine that uses compile time HTML parsing - rep-movsd/see-phit
2017 · github.com · its alternatives →
- 13

- 14VA
2013 · zhehaomao.com · its alternatives →
- 15

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 →
- 16

cuTile Rust provides a safe, tile-based kernel programming DSL for the Rust programming language. It features a safe host-side API for passing tensors to asynchronously executed kernel functions. - NVlabs/cutile-rs
Jun 2026 · github.com · its alternatives →
- 17

ålenkå files. Full list of files for ålenkå
2012 · sourceforge.net · its alternatives →
- 18

Vectorized executor to speed up PostgreSQL. Contribute to citusdata/postgres_vectorization_test development by creating an account on GitHub.
2014 · github.com · its alternatives →
- 19AG
This is a vector index I built that supports insertion and k-nearest neighbors (k-NN) querying, optimized for GPUs. It operates entirely in CUDA and can process queries on half a billion vectors in under 200 milliseconds. The codebase is structured as a standalone library with an HTTP API for remote access. It’s intended for high-performance search tasks—think similarity search, AI model retrieval, or reinforcement learning replay buffers. The codebase is located at https://github.com/rodlaf/BinaryGPUIndex.
2025 · rlafuente.com · its alternatives →
- 20
AnyParser▲271Accurate, private and configurable document retrieval LLM
2024 · cambioml.com · its alternatives →
- 21

Meta programming utilities for C++14. Merged in matt-42/lithium - matt-42/iod
2014 · github.com · its alternatives →
- 22

🔥 🔥 🔥Open Source & AI driven Data Onboarding Platform:Free flatfile.com alternative - yobulkdev/yobulkdev
2023 · github.com · its alternatives →
- 23

Accelerated Sparse Linear Algebra with Postgres and SuiteSparse - OneSparse/OneSparse
2019 · github.com · its alternatives →
- 24

zsv+lib: tabular data swiss-army knife CLI + world's fastest (simd) CSV parser - liquidaty/zsv
2022 · github.com · its alternatives →
Also compare
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 →