Dev tools · alternatives · 2026

24 alternatives to tsaug – a time series data augmentation library in Python

A Python package for time series augmentation. Contribute to arundo/tsaug development by creating an account on GitHub.

tsaug is a Python library for augmenting time series data. It provides tools to generate synthetic variations of temporal datasets, helping developers expand training data for machine learning models. The library is… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. tsaug – a time series data augmentation library in Python launched in 2019; newer entries below may have overtaken it.

1. 1
   tsaug – Open-source package for time series and audio data augmentation▲9

   A Python package for time series augmentation. Contribute to arundo/tsaug development by creating an account on GitHub.

   2020 · github.com · its alternatives →

2. 2
   Matrixprofile-ts – A Python library for timeseries motifs and discords▲95

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

   2019 · github.com · its alternatives →

3. 3
   ADTK – new Python library for time series anomaly detection▲67

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

   2019 · github.com · its alternatives →

4. 4
   uPlot.js – An exceptionally fast, tiny time series chart▲260

   📈 A small, fast chart for time series, lines, areas, ohlc & bars - leeoniya/uPlot

   2019 · github.com · its alternatives →

5. 5
   Capalyze▲809

   ChatGPT for datavores: scrape → ask → visualize

   2025 · capalyze.ai · its alternatives →

6. 6
   ChartGen AI▲489

   Hi HN, I’m the maker of ChartGen AI. Last year, we launched a text-based AI agent called Ada.im. After analyzing thousands of user interactions, we stumbled upon a pattern we hadn't expected: users were constantly trying to paste data rows and ask for visual representations, but the text-based model couldn't handle it well. We realized that for marketers, seeing the trend is more valuable than reading about it. We pivoted that insight into a standalone tool: Drag & Drop: Upload raw CSVs (FB Ads, GA4, TikTok, etc.). Processing: We map the disparate column names into a unified schema. Viz: It…

   Jan 2026 · chartgen.ai · its alternatives →

7. 7P3
   Plotting 3 years of hourly data in 150ms▲785

   2020 · leeoniya.github.io · its alternatives →

8. 8
   Time Door – A time series analysis API▲44

   Financial data visualization experiments built with Svelte and Three.js, exploring the boundaries of client-side performance, immersion, and data density.

   2019 · timedoor.xyz · its alternatives →

9. 9
   Taipy 3.0▲304

   Build powerful data and AI apps in pure Python

   2024 · github.com · its alternatives →

10. 10
    Python SDK – forecasting with foundation time-series and tabular models▲43

    We’ve built a Python SDK for running inference on foundation models designed for time-series and tabular data. They are new SOTA models for time-series and tabular tasks and work out of the box. They do not require model training or feature engineering. The link to the GitHub repository is: https://github.com/S-FM/faim-python-client

    Dec 2025 · github.com · its alternatives →

11. 11
    Vizdium▲131

    The quick and easy free data visualization tool

    2022 · its alternatives →

12. 12
    Aiopandas – Async .apply() and .map() for Pandas, Faster API/LLMs Calls▲62

    Lightweight Pandas monkey-patch that adds async support to map, apply, applymap, aggregate, and transform, enabling seamless handling of async functions with controlled max_parallel execution. - telekinesis-inc/aiopandas

    2025 · github.com · its alternatives →

13. 13
    Time-tracker that helps me with context switches and documentation▲122

    Hi HN! I was feeling incredibly frustrated with my struggles in context-switching and writing documentation, so I decided to take action and find a solution. I wrote a simple tool for Alfred and Raycast that helps me be more mindful when switching between tasks, which can even prevent some of those switches. Plus, I can jot down quick notes on each task as I go, making it easier to document everything once I’m finished. This tool is really simple with only 5 commands - tsr, tsn, tsl, tsv, tse tsr writes a new record tsn writes a new note tsl shows you the current task tsv builds a static…

    2023 · github.com · its alternatives →

14. 14UA
    Unplugg: An automated Forecasting API for timeseries data▲100

    2017 · unplu.gg · its alternatives →

15. 15
    Pushdata.io – Ultra simple time series data storage▲108

    2018 · pushdata.io · its alternatives →

16. 16
    A flask app to make dashboards, easily▲302

    :snake: :bar_chart: :chart_with_upwards_trend: Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go. - GitHub - christabor/flask_jsondash: :snake: :chart_with_upwards_trend: Build complex dashboards without any front-end code. Use your own endpoi

    2016 · github.com · its alternatives →

17. 17
    MetricsGraphics.js▲84

    API for beautiful interactive graphics from time-series data

    2014 · metricsgraphicsjs.org · its alternatives →

18. 18
    Epoch▲95

    A general purpose library for building real-time charts.

    2014 · fastly.github.io · its alternatives →

19. 19
    LockedIn▲134

    Fast, Accurate Forecasting with your Excel Data

    2024 · app.roadmap-tech.com · its alternatives →

20. 20DA
    dstack – an open-source tool to build data applications easily▲134

    Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…

    2020 · its alternatives →

21. 21
    128-bit, roughly-ordered, URL-safe UUIDs▲205

    Timeflake is a 128-bit, roughly-ordered, URL-safe UUID. - anthonynsimon/timeflake

    2021 · github.com · its alternatives →

22. 22
    Autolabel, a Python library to label and enrich text data with LLMs▲153

    Hi HN! I'm excited to share Autolabel, an open-source Python library to label and enrich text datasets with any Large Language Model (LLM) of your choice. We built Autolabel because access to clean, labeled data is a huge bottleneck for most ML&#x2F;data science teams. The most capable LLMs are able to label data with high accuracy, and at a fraction of the cost and time compared to manual labeling. With Autolabel, you can leverage LLMs to label any text dataset with <5 lines of code. We’re eager for your feedback!

    2023 · github.com · its alternatives →

23. 23
    Res(ts): Auto-Generate TypeScript Models for Django Projects▲54

    Contribute to peter-woyzbun/rests development by creating an account on GitHub.

    2018 · github.com · its alternatives →

24. 24
    A Go implementation of TensorFlow's streaming quantiles estimator▲98

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

    2018 · github.com · its alternatives →

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 →