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Python Package Index VS Datapane

Compare Python Package Index VS Datapane and see what are their differences

Python Package Index logo Python Package Index

A repository of software for the Python programming language

Datapane logo Datapane

Datapane is an API-first platform for building reporting and BI tools using Python.
  • Python Package Index Landing page
    Landing page //
    2023-05-01
  • Datapane Landing page
    Landing page //
    2023-09-10

Python Package Index videos

Python Django - Create and deploy packages to PyPI - Python Package Index

More videos:

  • Review - PIP and the Python Package Index - Open Source Language, Package Installer, Programming Python

Datapane videos

Datapane Quick Overview

Category Popularity

0-100% (relative to Python Package Index and Datapane)
Translation Service
100 100%
0% 0
Business Intelligence
0 0%
100% 100
Developer Tools
76 76%
24% 24
Data Dashboard
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Python Package Index should be more popular than Datapane. It has been mentiond 70 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Python Package Index mentions (70)

  • The ultimate guide to creating a secure Python package
    To name your Python package, you need to check PyPI to see if your chosen name is already in use. Usually, developers use the same name for both PyPI and your package; however, you can choose a different name if you want to. - Source: dev.to / 8 days ago
  • Create an AI prototyping environment using Jupyter Lab IDE with Typescript, LangChain.js and Ollama for rapid AI prototyping
    Pip install PackageName: installs a package (you can browse the available packages in the Python Package Index). - Source: dev.to / 17 days ago
  • Pickling Python in the Cloud via WebAssembly
    In my experience so far, I can use a vast amount of the Python Standard Library to build Wasm-powered serverless applications. The caveat I currently understand is that Python’s implementation of TCP and UDP sockets, as well as Python libraries that use threads, processes, and signal handling behind the scenes, will not compile to Wasm. It is worth noting that a similar caveat exists with libraries that I find on... - Source: dev.to / 4 months ago
  • Introducing Flama for Robust Machine Learning APIs
    We believe that poetry is currently the best tool for this purpose, besides of being the most popular one at the moment. This is why we will use poetry to manage the dependencies of our project throughout this series of posts. Poetry allows you to declare the libraries your project depends on, and it will manage (install/update) them for you. Poetry also allows you to package your project into a distributable... - Source: dev.to / 5 months ago
  • PyPI Packaging
    From there, I needed to learn a bit about PyPi or Python Package Index, which is the home for all the wonderful packages that you know if you have ever run the handy pip install command. PyPi has a pretty quick and easy onboarding, which requires a secured account be created and, for the purposes of submitting packages from CLI, an API token be generated. This can be done in your PyPi profile. Once logg just... - Source: dev.to / 5 months ago
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Datapane mentions (8)

  • How do you guys share R/Python based analyses to business stakeholders?
    PowerPoint will do. If there isn't too much data I will sometimes make a quick datapane html dashboard that I can also send their way. They like that, the plotly plots can be interactive so they can poke around. Nice quick solution that's easy to share. Source: over 1 year ago
  • how do i convince data scientists to actually use my power bi dashboards?
    If you're going that route, check out Datapane - it's an open-source Python framework we're working on to create interactive reports from Plotly, Pandas, etc. Source: almost 2 years ago
  • Ask HN: Who is hiring? (April 2022)
    Datapane | https://datapane.com | Remote (UK & Europe) Datapane is the frontend for the data science ecosystem. Our open-source library helps data scientists use the tools they love to create reports, dashboards, and apps for non-technical end-users. We are backed by some of the top investors in the world, and have grown to be the most popular way to create and share data science reports. We are proud to put the... - Source: Hacker News / about 2 years ago
  • Ask HN: Who is hiring? (January 2022)
    Datapane | https://datapane.com | Remote (Europe) Happy New Year! Datapane is the world's most popular way to create data science reports using Python. Our open-source framework is used by thousands of data scientists to create interactive reports, and our API-first platform serves over 50,000 people a month. We're a technical, remote team based in the UK and founded by YC alum and compsci PhDs. We're just closing... - Source: Hacker News / over 2 years ago
  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Datapane - API for building interactive reports in Python and deploying Python scripts and Jupyter Notebooks as self-service tools. - Source: dev.to / almost 3 years ago
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What are some alternatives?

When comparing Python Package Index and Datapane, you can also consider the following products

Lobe - Visual tool for building custom deep learning models

ActionDesk - Build powerful automations with just your spreadsheet skills

GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.

ReportServer - In Reporting Services, URLs are used to access the Report Server Web service and the web portal. Before you can use either application, you must configure at least one URL each for the Web service and the web portal.

Datature - No-code platform for building deep neural nets

Combit - Reporting tool for software developers to integrate reporting functions in desktop, web and cloud applications. Made for development environments such as .NET, C#, Delphi, C++, ASP.NET, ASP.NET MVC, .NET Core etc. Supports a variety of data sources.