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Products that do what Dhi – 520x faster data validation for Python, 77x faster for TypeScript does
Hi HN! I built dhi, a data validation library that uses Zig to compile to both native C (Python) and SIMD WASM (TypeScript). Key points: - Drop-in API compatibility with Pydantic (Python) and Zod (TypeScript) - Python: 24.9M validations/sec (520x faster than Pydantic V2) - TypeScript: up to 77x faster than Zod on invalid data - 28KB WASM bundle, zero JS runtime overhead I'd love feedback on the API surface, benchmarks, and real-world integration pain points. If you're curious, the repo has full benchmarks and examples.
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2019 · fastapi.tiangolo.com
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I found a serious bottleneck in Python binding of Wasmer and Wasmtime and I found a trick to make 25x faster. Then beat all that using NumPy.
2023 · medium.com
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A simple, fast, extensible python library for data validation. New features: * union validator * dynamic dict validator * timedelta validator * enum validator * slug validator * fqdn validator * nested model class GitHub: https://github.com/guyskk/validr Document: https://github.com/guyskk/validr/wiki Usage: https://github.com/guyskk/validr/wiki/Scenario-&-Example
2020
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I built a Rust drop-in replacement for svelte-check that's 10-30x faster for Svelte 5 projects. What it does: - Parses Svelte files with a custom Rust parser - Transforms them to TSX in parallel using Rayon - Runs type-checking via Microsoft's tsgo (the native Go port of TypeScript) - Maps errors back to original .svelte locations via source maps Why it's fast: The official svelte-check uses TypeScript's Language Service API optimized for IDEs with persistent connections. Great for autocomplete but slow for batch CLI checks. svelte-check-rs writes real TSX files to disk and runs tsgo as a…
Jan 2026 · svelte-check-rs.vercel.app
- 5BO
Read the full blogpost at https://rach.codes/blog/Introducing-Bhumi (click on reader to see the technical breakdown!) AI inference should be fast, but in practice it’s painfully slow. Inference bottlenecks slow down LLM-powered chatbots and AI workflows everywhere. I built Bhumi to fix that. Bhumi is a Python library designed for developers, yet its performance-critical core is implemented in Rust (via PyO3) for near-native speed. This hybrid approach delivers up to 2.5x faster response times across providers like OpenAI, Anthropic, and Gemini—without changing the…
2025 · bhumi.trilok.ai
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2020 · github.com
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2020 · github.com
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Most ZK proving systems are optimized for server-grade hardware with massive RAM. When scaling to industrial-sized traces (2^20+ rows), they often hit a "Memory Wall" where allocation and data movement become a larger bottleneck than the actual computation. I have been developing Hekate, a ZK engine written in Rust that utilizes a Zero-Copy streaming model and a hybrid tiled evaluator. To test its limits, I ran a head-to-head benchmark against Binius64 on an Apple M3 Max laptop using Keccak-256. The results highlight a significant architectural divergence: At 2^15 rows: Binius64 is faster…
Jan 2026
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Hi HN, We’ve all accepted the "Python tax"—you trade execution speed for developer happiness. But what if that trade-off was a thing of the past? I just came across BustAPI, and it’s basically a "cheat code" for Python web services. It’s not just another wrapper; it’s a hybrid engine that embeds a Rust (Actix-Web) core directly into the Python runtime. Is this the end of the "slow Python" era? The benchmarks are pretty shocking. I’d love to see someone stress-test this against a production-grade Go or Node.js setup. Repo: https://github.com/GrandpaEJ/BustAPI Benchmarks:…
Dec 2025 · github.com
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Started with a pure JS implementation (still the fastest JS image diff), but wanted to push performance further. I rewrote the core in Rust to make it the fastest open-source single-threaded image diff. On 4K images (5600×3200): ~327ms vs odiff's ~1215ms. Binaries are ~3x smaller too (~700KB vs ~2MB). The core insight: make the cold pass smarter to make the hot pass do less work. Instead of simple pixel equality, the cold pass scans dynamic-sized blocks and marks "problematic" ones - blocks that might contain differences. The hot pass then only runs YIQ perceptual diff and antialiasing check…
Dec 2025 · github.com
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Hey HN, A CSV parser using Go 1.26's experimental simd/archsimd package. I wanted to see what the new SIMD API looks like in practice. CSV parsing is mostly "find these bytes in a buffer"—load 64 bytes, compare, get a bitmask of positions. The interesting part was handling chunk boundaries correctly (quotes and line endings can split across chunks). - Drop-in replacement for encoding/csv - ~20% faster for unquoted data on AVX-512 - Quoted data is slower (still optimizing) - Scalar fallback for non-AVX-512 Requires GOEXPERIMENT=simd.…
Jan 2026 · github.com
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It's very early days for the project, but I wanted to share it to see if there is interest. It is the final piece of the FastAPI server-side rendering stack I started building with FastHX and htmy (the two dependencies of this project besides FastAPI). Think of it as a more powerful and convenient alternative to tools like FastHTML, powered by FastAPI (without any modifications). I hope you'll like it.
Oct 2025 · volfpeter.github.io
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I've spent the past couple of weeks building a Wasm-to-Go translator. It supports a subset of Wasm useful enough to translate SQLite into 600k LoC (~20 MiB) of Go code. It already passes all of my Go SQLite driver's tests across the 20 platforms I support. Performance compared to https://wazero.io/ is a bit of a mixed bag: code that frequently crosses the Go-Wasm boundary improves, but code that spends most of its time in "Wasm land" doesn't. There's probably room for improvement (I'd love to hear your ideas), but this is also a testament to how good the wazero AOT compiler…
Feb 2026 · github.com
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2021 · github.com
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Apr 2026 · github.com
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A collection of high-performance data structures for Zig.
Dec 2025 · github.com
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2020 · github.com
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actually, nothing special about this implementation. just another event loop written in rust for educational purposes and joy in tests it shows seamless migration from uvloop for my scraping framework https://github.com/BitingSnakes/silkworm with APIs (fastapi) it shows only one advantage: better p99, uvloop is faster about 10-20% in the synthetic run currently, i am forking on the win branch to give it windows support that uvloop lacks
Mar 2026 · github.com
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ran this over the weekend. stack was Llama 3.2 3B running locally + Keiro Research API for retrieval. 85.0% on 4,326 questions. where that lands: ROMA (357B): 93.9% OpenDeepSearch (671B): 88.3% Sonar Pro: 85.8% Llama 3.2 3B + Keiro: 85.0% the systems ahead of us are running models 100-200x larger. that's why they're ahead. not better retrieval, not better prompting — just way more parameters. the interesting part is how small the gap is despite that. 3 points behind a 671B model. 0.8 behind Sonar Pro. at some point you have to ask what you're actually buying with all that compute for this…
Mar 2026 · keirolabs.cloud
- 20FN
"I wanted to see if I could optimize the dequantization bottleneck during 4-bit LLM inference. By writing a custom kernel in Triton to optimize memory access patterns, I managed to get up to a 1.41x speedup over the standard bitsandbytes implementation. Check out the source code and benchmarks, feedback is highly appreciated!"
Jul 2026 · github.com
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