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Dev tools · alternatives · 2026

24 alternatives to Dplython, dplyr data manipulation for python

dplyr for python. Contribute to dodger487/dplython development by creating an account on GitHub.

Dplython is a Python library that brings dplyr's data manipulation capabilities to Python. It is designed for data analysts and developers who work with datasets and want to use dplyr-style syntax for data… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Dplython, dplyr data manipulation for python launched in 2016; newer entries below may have overtaken it.

  1. 1

    General Purpose Data Manipulation Library. Contribute to maxhumber/redframes development by creating an account on GitHub.

    2022 · github.com · its alternatives →

  2. 2
    DPLYR▲83

    Deploy/host web apps on reliable machines easily.

    2020 · its alternatives →

  3. 3

    GraphBLAS for Python. Contribute to Graphegon/pygraphblas development by creating an account on GitHub.

    2019 · github.com · its alternatives →

  4. 4DA

    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 →

  5. 5

    Like a Python list but better. Contribute to Lauriat/funct development by creating an account on GitHub.

    2021 · github.com · its alternatives →

  6. 6DF

    A disk-based data manipulation tool for working with large-than-RAM datasets. Aims to lower the barrier-to-entry for manipulating large datasets by adhering closely to popular and familiar data manipulation paradigms like dplyr verbs and data.table syntax.

    2019 · diskframe.com · its alternatives →

  7. 7BA
  8. 8

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

    Jul 2026 · github.com · its alternatives →

  9. 9

    Goldbaum et al., (2018). unyt: Handle, manipulate, and convert data with units in Python . Journal of Open Source Software, 3(28), 809, https://doi.org/10.21105/joss.00809

    2018 · joss.theoj.org · its alternatives →

  10. 10

    Pandas is the most common python library for data analytics

    2016 · amazon.com · its alternatives →

  11. 11

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

    2020 · github.com · its alternatives →

  12. 12

    Gota: DataFrames and data wrangling in Go (Golang) - go-gota/gota

    2016 · github.com · its alternatives →

  13. 13DP
  14. 14
    Plot.ly▲16

    Millions of data teams build with Plotly. Open-source graphing libraries, Dash, and Plotly Studio for interactive data apps in Python.

    2014 · plot.ly · its alternatives →

  15. 15

    Hi HN, We're Anna, Adrian, Marcin and Matt, developers of dlt. dlt is an open source library to automatically create datasets out of messy, unstructured data sources. You can use the library to move data from about anywhere into most of well known SQL and vector stores, data lakes, storage buckets, or local engines like DuckDB. It automates many cumbersome data engineering tasks and can by handled by anyone who knows Python. Here’s our Github: https://github.com/dlt-hub/dlt Here’s our Colab demo:…

    2023 · colab.research.google.com · its alternatives →

  16. 16

    Lisp-like-R: A clojure inspired lisp that compiles to R in R - dirkschumacher/llr

    2021 · github.com · its alternatives →

  17. 17

    2020 · timothycrosley.github.io · its alternatives →

  18. 18

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

    2021 · github.com · its alternatives →

  19. 19SP

    Hi HN, Over the past 6 months I've been working on a technical book focused on helping aspiring data scientists to get hands-on experience with cloud computing environments using the Python ecosystem. The book is targeted at readers already familiar with libraries such as Pandas and scikit-learn that are looking to build out a portfolio of applied projects. To author the book, I used the Leanpub platform to provide drafts of the text as I completed each chapter. To typeset the book, I used the R bookdown package by Yihui Xie to translate my markdown into a PDF format. I also used Google docs…

    2020 · its alternatives →

  20. 20

    Shiny is an open source web framework for data scientists to create interactive web applications, using Python or R. Shiny for R has been around since 2012, Shiny for Python since 2022. Today, we're releasing Shiny Express, a new syntax for writing Shiny for Python apps that is dramatically simpler and more concise. You can write full-stack interactive applications that manipulate and visualize your data in realtime, using a syntax that is highly reminiscent of writing a regular Python script.

    2024 · shiny.posit.co · its alternatives →

  21. 21

    Today I'm open sourcing "Grid studio", a web-based spreadsheet application with full integration of the Python programming language.

    2019 · hackernoon.com · its alternatives →

  22. 22

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

    2019 · github.com · its alternatives →

  23. 23

    I will write this later... Contribute to llllllllll/lazy_python development by creating an account on GitHub.

    2015 · github.com · its alternatives →

  24. 24
    Magniv▲100

    One line data science infra, Open-Source Python library

    2022 · its alternatives →

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