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Dev tools · alternatives · 2026

24 alternatives to Fast Rolling Quantiles for Python

Blazing fast, composable, Pythonic quantile filters. - marmarelis/rolling-quantiles

Fast Rolling Quantiles for Python is a development tool that computes quantiles over rolling windows of data. Built for Python developers who need efficient statistical calculations on streaming or sequential datasets… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Fast Rolling Quantiles for Python launched in 2021; newer entries below may have overtaken it.

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    Optimal Quantile Approximation in Streams. Contribute to axiomhq/quantiles development by creating an account on GitHub.

    2018 · github.com · its alternatives →

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    Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…

    2025 · runpyxl.com · its alternatives →

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    Simple Python Calculation Engine. Contribute to bsdz/calcengine development by creating an account on GitHub.

    2021 · github.com · its alternatives →

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    Rapid fuzzy string matching in Python using various string metrics - rapidfuzz/RapidFuzz

    2020 · github.com · its alternatives →

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    I built a Rust-powered Wavelet Matrix library for Python. There were surprisingly few practical Wavelet Matrix implementations available for Python, so I implemented one with a focus on performance, usability, and typed APIs. It supports fast rank/select, top-k, quantile, range queries, and even dynamic updates. Feedback welcome!

    Dec 2025 · pypi.org · its alternatives →

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    Ultra-fast and customizable Python charts. Contribute to reflex-dev/xy development by creating an account on GitHub.

    Jul 2026 · github.com · its alternatives →

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    Marple▲86

    Hi HN! I’m Nero from Marple, and we build time series tooling for Aerospace & Automotive. In 2020, we launched our first product: a sort of Grafana on steroids designed for high performance analysis. After integrating with a lot of different TS databases, we kept running into their design limits when trying to deliver the best performance & UX to our users. That’s why we are launching Marple DB today (https://www.marpledata.com/marple-db). Marple DB transforms measurements files (CSV, MAT, HDF5, TDMS, …) into a queryable lakehouse. We designed for extreme ingestion…

    2022 · marpledata.com · its alternatives →

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    Sampling profiler for Python programs. Contribute to benfred/py-spy development by creating an account on GitHub.

    2018 · github.com · its alternatives →

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    Quantra: a derivatives pricing platform built on an open source C++ QuantLib engine, with a Python orchestration API and a web portal.

    2017 · quantra.io · its alternatives →

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    A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python. - reiinakano/xcessiv

    2017 · github.com · its alternatives →

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    This little project came about because I kept running into the same problem: cleanly differentiating sensor data before doing analysis. There are a ton of ways to solve this problem, I've always personally been a fan of using kalman filters for the job as its easy to get the double whammy of resampling/upsampling to a fixed consistent rate and also smoothing/outlier rejection. I wrote a little numpy only bayesian filtering/smoothing library recently (https://github.com/hugohadfield/bayesfilter/) so this felt like a fun and very useful first thing to…

    2024 · github.com · its alternatives →

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    A container for dataclasses with multi-indexing and bulk operations. - joshlk/dataclassframe

    2020 · github.com · its alternatives →

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    Hello and happy new year! We're excited to introduce the Pyper package for concurrency & parallelism in Python. Pyper is a flexible framework for concurrent / parallel data processing, following the functional paradigm. Source code can be found on [github](https://github.com/pyper-dev/pyper) Key features: Intuitive API: Easy to learn, easy to think about. Implements clean abstractions to seamlessly unify threaded, multiprocessed, and asynchronous work. Functional Paradigm: Python functions are the building blocks of data pipelines. Let's you write clean, reusable…

    2025 · github.com · its alternatives →

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    Zipline, a Pythonic Algorithmic Trading Library. Contribute to quantopian/zipline development by creating an account on GitHub.

    2013 · github.com · its alternatives →

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    The source for financial, economic, and alternative datasets, serving investment professionals.

    2013 · quandl.com · its alternatives →

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    Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work! - gradio-app/gradio

    2020 · github.com · its alternatives →

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    Python With Kurly braces. Contribute to umlet/pwk development by creating an account on GitHub.

    2020 · github.com · its alternatives →

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    A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile - target/matrixprofile-ts

    2019 · github.com · its alternatives →

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    Hi HN! We’re Adrien and Kanav. We met at our previous job, where we spent about a third of our lives combating a constant firehose of bugs. In the hope of reducing this pain for others in the future, we’re working on automating debugging. We’re currently working on a platform that ingests logs and then automatically reproduces, root causes and ultimately fixes production bugs as they happen. You can see some of our work on this here - https://news.ycombinator.com/item?id=39528087 As we were building the root-cause phase of our automated debugger, we realized that we developed…

    2024 · github.com · its alternatives →

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    All-pair set similarity search on millions of sets in Python and on a laptop - GitHub - ekzhu/SetSimilaritySearch: All-pair set similarity search on millions of sets in Python and on a laptop

    2018 · github.com · its alternatives →

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    Process large (e.g. 4GB+) data sets in a spreadsheet. Load GB/32 million-row files in seconds and use them without any crashes using up to about 500GB RAM. Load/edit in-place/split/merge/clean CSV/text files with up to 32 million rows and 1 million columns. Use your Python functions as UDF formulas that can return to GS-Calc images and entire CSV files. Use a set of statistical pivot data functions. Solver functions virtually without limits for the number of variables. Create and display all popular chart types with millions of data points instantly. Suggestions…

    2025 · citadel5.com · its alternatives →

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    A Python toolkit for rule-based/unsupervised anomaly detection in time series - arundo/adtk

    2019 · 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 →