Alternatives
Products that do what HiCellTek NR PRB Visualizer does
5G NR PRB heatmaps, processed locally in your browser
- 1OS
Hey HN! We’ve built Pretzel, an open-source data exploration and visualization tool that runs fully in the browser and can handle large files (200 MB CSV on my 8gb MacBook air is snappy). It’s also reactive - so if, for example, you change a filter, all the data transform blocks after it re-evaluate automatically. You can try it here: https://pretzelai.github.io/ (static hosted webpage) or see a demo video here: https://www.youtube.com/watch?v=73wNEun_L7w You can play with the demo CSV that’s pre-loaded (GitHub data of text-editor adjacent projects) or upload…
2024 · github.com
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- 4ABADS-B visualizer▲339
I've created a web app for querying and visualization of ADS-B datasets: https://adsb.exposed/ Source code: https://github.com/ClickHouse/adsb.exposed/ The results significantly exceeded my expectations because the pictures are insanely beautiful, and the data is a treasure trove. It proves many statements that were not certain: - it is feasible to generate tiles by aggregation on a pixel level (instead of hexagons or rectangular grid); - it does not require JPG/PNG tiles - we can transfer raw bitmap data with zstd compression; - it is possible to…
2024 · adsb.exposed
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2017 · heatmap.tv
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2024 · safemap.io
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2023 · github.com
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- 15OC
TL;DR: private, in-browser converter that turns pretty much any image file format into standard JPEGs. Everything runs locally. No uploads. This started as a five-minute job and forty hours later... I wanted to convert a HEIC without uploading it anywhere, so I wrestled Emscripten/WebAssembly to run Google's Jpegli inside a Web Worker. Now there's a small UI and it handles a bunch of formats. Just about the only thing it can't decode is JXL - but there's still some JPEG XL magic in there: XYB perceptual color quantization is enabled by default via Jpegli. The upside of all this…
Oct 2025 · onlyjpg.com
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2016 · youtube.com
- 18MMapipedia▲61
A web platform I've written to make it easy for people to share goespatial time series data and display it on animated heatmaps. There's also a social media component that allows you to write comments, follow, share and like data sets that you want to engage with. You can also download the CSV data and embed animations into your own websites. People uploading datasets can also choose to make money by accepting donations. Please check out the home page for more details: https://mapipedia.com Here are some samples of things created with the platform (press the play button to start…
2019
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For the last year I’ve been developing Hyperparam — a collection of small, fast, dependency-free open-source libraries designed for data scientists and ML engineers to actually look at their data. - Hyparquet: Read any Parquet file in browser/node.js - Icebird: Explore Iceberg tables without needing Spark/Presto - HighTable: Virtual scrolling of millions of rows - Hyparquet-Writer: Export Parquet easily from JS - Hyllama: Read llama.cpp .gguf LLM metadata efficiently CLI for viewing local files: npx hyperparam dataset.parquet Example dataset on Hugging Face Space:…
2025 · hyperparam.app
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This is a service I've built to provide equirectangular cloud maps of the whole Earth, updated every 3 hours, for free. It's based on infrared and visible light data from EUMETSAT, processed to enhance the clouds and try to reduce the impact of surface temperatures on the final image. I built it because it's surprisingly hard to find these kinds of images in a format that's useful to developers and hobbyists. I was building a 3D ISS tracker and wanted to include live clouds but couldn't find anything good, so I got sidetracked, and here we are.
2023 · github.com
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- 23CG
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
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