Dev tools · alternatives · 2026
24 alternatives to Pandashells – Bringing the Python data stack to the shell prompt
:panda_face: Bringing the python data stack to the shell prompt - robdmc/pandashells
Pandashells is a command-line tool that brings Python data analysis libraries to the shell prompt, allowing users to work with the Python data stack directly from terminal commands. It's designed for developers and… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Pandashells – Bringing the Python data stack to the shell prompt launched in 2015; newer entries below may have overtaken it.
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Hey, guys. I've just made a plugin which turns your pandas dataframe into a tableau-style component. It allows you to explore the dataframe with easy drag-and-drop UI. You can use PyGWalker in Jupyter, Google Colab, or even Kaggle Notebook to easily explore your data and generate interactive visualizations. PyGWalker (pronounced like "Pig Walker", just for fun) is named as an abbreviation of "Python binding of Graphic Walker". Here are some links to check it out: The Github Repo: https://github.com/Kanaries/pygwalker Use PyGWalker in Kaggle:…
2023 · github.com · its alternatives →
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- 3BA
2019 · bamboolib.com · its alternatives →
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Pandada AI▲620Build data wealth: Turns files into McKinsey-level insights
Jan 2026 · pandada.ai · its alternatives →
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🚅 Interactive prompts made simple. Build a prompt like stacking blocks. - bchao1/bullet
2019 · github.com · its alternatives →
- 6SP
2017 · sultan.readthedocs.io · its alternatives →
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Hey HN! I’m excited to share sketch: a tool to help anyone who uses python and pandas quickly iterate and get to answers for their data questions. Sketch installs as a pandas extension that offers utility functions that operate on natural language prompts. Using the `ask` interface you can get answers in natural language. Using the `howto` interface you can get get python and pandas code directly. The primary benefit of this over copilot and chatGPT is that this adds data-content based context so that the generated answers are much more accurate and relevant to the data problem at hand.…
2023 · github.com · its alternatives →
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Your home for data science and AI. The world's leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals.
2019 · towardsdatascience.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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2014 · github.com · its alternatives →
- 11DA
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 →
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Pandas is the most common python library for data analytics
2016 · amazon.com · its alternatives →
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Explore and run AI code with Kaggle Notebooks | Using data from No attached data sources
2020 · kaggle.com · its alternatives →
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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 →
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An experimental programming language for data flow - calebwin/pipelines
2019 · github.com · its alternatives →
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Robyn is a Super Fast Async Python Web Framework with a Rust runtime. - sparckles/Robyn
2023 · github.com · its alternatives →
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DEPRECATED StackImpact Python Profiler - Production-Grade Performance Profiler: CPU, memory allocations, blocking calls, exceptions, metrics, and more - stackimpact/stackimpact-python
2017 · github.com · its alternatives →
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I've been doing some data cleaning for my fine tuning projects using LLMs, and decided to just build a package for it as a side project. Check it out here: https://github.com/databonsai/databonsai Some features: - categorization (labelling), transformation and decomposition (text into structured format) - validates llm outputs - batch mode batches up the inputs/outputs so you don't send the prompt (schema, fewshot examples) for every row of data, saving a significant amount of tokens There are some similarities to the Instructor repo, but this is simpler and made for…
2024 · github.com · its alternatives →
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Visualizer for pandas data structures. Contribute to man-group/dtale development by creating an account on GitHub.
2020 · github.com · its alternatives →
- 20AW
2016 · alphasheets.com · its alternatives →
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An ChatGPT integration for Jupyter Notebooks and the IPython Shell - santiagobasulto/ipython-gpt
2023 · github.com · its alternatives →
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I've been working on Shelgon, a framework that lets you build your own custom REPL shells and interactive CLI applications in Rust. You can use Shelgon to: - Create a custom shell with only a few lines of code - Build interactive debugging tools with persistent state between commands - Develop domain-specific language interpreters with shell-like interfaces - Add REPL capabilities to existing applications Getting started is straightforward - implement a single trait that handles your command execution logic, and Shelgon takes care of the terminal UI, input handling, and async runtime…
2025 · github.com · its alternatives →
- 23DD
Gleb, Alex, Erez and Simon here – we are building an open-source tool for comparing data within and across databases at any scale. The repo is at https://github.com/datafold/data-diff, and our home page is https://datafold.com/. As a company, Datafold builds tools for data engineers to automate the most tedious and error-prone tasks falling through the cracks of the modern data stack, such as data testing and lineage. We launched two years ago with a tool for regression-testing changes to ETL code…
2022 · its alternatives →
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2020 · github.com · its alternatives →
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