SCscrlk·Sep 3, 2024Submission
Spyder 6.0 Released – The Scientific Python Development Environment
2 points · Open discussionspyder-ide
spyder
Python2015–2024
spyder-ide / spyder
spyder
Official repository for Spyder - The Scientific Python Development Environment
12Distinct people
15Mentions
0Explicit recommenders
9.4KGitHub stars
What to know before exploring
What it is
Official repository for Spyder - The Scientific Python Development Environment
GitHub
Where it is used
No documented product use was verified in the last source check.
What people are saying
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Also in these discussions
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This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by year15 dated mentions
Observed mentions: 2015-04-24 12:07:41 UTC to 2024-09-03 10:27:13 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2015 | 2015-01-01 00:00:00 UTC | 2016-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2016 | 2016-01-01 00:00:00 UTC | 2017-01-01 00:00:00 UTC | 4 | 1 | 3 |
| 2017 | 2017-01-01 00:00:00 UTC | 2018-01-01 00:00:00 UTC | 2 | 1 | 1 |
| 2018 | 2018-01-01 00:00:00 UTC | 2019-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2019 | 2019-01-01 00:00:00 UTC | 2020-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2021 | 2021-01-01 00:00:00 UTC | 2022-01-01 00:00:00 UTC | 5 | 0 | 5 |
| 2022 | 2022-01-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2023 | 2023-01-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2024 | 2024-01-01 00:00:00 UTC | 2025-01-01 00:00:00 UTC | 1 | 1 | 0 |
What Hacker News says
15 sourcesI'm thrilled to see my project (https://mockoon.com) being part of this first cohort! It's a great opportunity but it's also good for open-source projects in general. It can only contribute to make our industry more sustainable.
Here is the list of the 20 projects that have been selected:
- https://github.com/analogjs/analog: Analog is a fullstack meta-framework to build applications and websites with Angular
- https://github.com/Atri-Labs/atrilabs-engine: The Python web framework to build production-grade apps
- https://github.com/bigskysoftware/htmx: Makes AJAX, Web Sockets, etc. available directly in HTML
- https://github.com/code-hike/codehike: Tools for building all types of code walkthroughs: blogs, docs, slides, tutorials, etc.
- https://github.com/DioxusLabs/dioxus: Friendly React-like GUI library for desktop, web, mobile, and mor
Read the rest
e, written in Rust.
- https://github.com/EddieHubCommunity/LinkFree: Connecting with your audience with a single link, showcasing your content and projects.
- https://github.com/FashionFreedom/Seamly2D: Design CAD to democratize and de-centralize fashion design & production.
- https://github.com/fastai/nbdev: Increase developer productivity by 10x with a new exploratory programming workflow.
- https://github.com/formbricks/formbricks: Open-source Qualtrics alternative
- https://github.com/GyulyVGC/sniffnet: Cross-platform application to comfortably monitor and analyse network traffic
- https://github.com/JessicaTegner/pypandoc: Pypandoc provides a thin wrapper for pandoc, a universal document converter.
- https://github.com/mockoon/mockoon: Mockoon is the easiest and quickest way to design and run mock REST APIs.
- https://github.com/nuxt/nuxt: An intuitive framework for building web applications, built for the edge.
- https://github.com/responsively-org/responsively-app: A dev-tool for web developers that aid in faster responsive web page development.
- https://github.com/simonw/datasette: An open source multi-tool for exploring and publishing data
- https://github.com/spyder-ide/spyder: The scientific Python development environment
- https://github.com/strawberry-graphql/strawberry: A GraphQL library for Python that leverages type annotations
- https://github.com/termux/termux-app: A terminal emulator for Android that provides 2000+ linux packages to code on phone
- https://github.com/TimothyStiles/poly: Poly is a fast, well tested Go package for engineering organisms.
- https://github.com/trpc/trpc: End-to-end typesafe APIs made easy. Never write another API contract again.
Edit: formatting and updated repo links
Yeah, updates in Anaconda can be bumpy. That's why we decided to create our own installers for Windows and Mac: https://github.com/spyder-ide/spyder/releases/tag/v4.2.1
In Spyder – a free and open source scientific environment written in PythonAgreed, installing Spyder with pip can lead to a lot of headaches. That's why we don't recommend to use it and suggest Anaconda/conda instead. But that solution also became problematic during the last couple of years (conda is too slow or throws back a huge dependency errors).
That's why we decided to create our own, self-contained installers for Windows and macOS: https://github.com/spyder-ide/spyder/releases/tag/v4.2.1
Since they are completely isolated and don't come with pip, they can't be broken. And you can connect them to other Python environments by following these instructions: http://docs.spyder-ide.org/current/faq.html#using-existing-e...
In Spyder – a free and open source scientific environment written in PythonYes, we definitely improved on that front. Spyder should be more responsive now.
You should give it a try with our new installers for Windows and macOS, which save you the trouble of installing Anaconda: https://github.com/spyder-ide/spyder/releases/tag/v4.2.1
In Spyder – a free and open source scientific environment written in PythonYou could consider using our new installers, if you're on Windows or macOS, to avoid that: https://github.com/spyder-ide/spyder/releases/tag/v4.2.1
Then you can connect them to your conda envs, as described here: http://docs.spyder-ide.org/current/faq.html#using-existing-e...
In Spyder – a free and open source scientific environment written in PythonNot to be trite, but there is a github repo and the license is MIT. I'd guess it's possible to find the relevant nag code (possibly in its own github commit), strip it out, and recompile.
Edit. maybe this is what you're talking about? https://github.com/spyder-ide/spyder/commit/6b602af50f632cf6...
In Spyder – a free and open source scientific environment written in PythonSpyder was funded by Anaconda for a while, and is now funded by NumFocus and Quansight https://github.com/spyder-ide/spyder/wiki/Current-Funding-an...
In A Visual Debugger for Jupyterinteresting, what makes you say so ? it's been used to build apps that I wouldn't call basic :
Calibre (https://ic.tweakimg.net/ext/i/1324631500.jpeg)
Spyder (https://github.com/spyder-ide/spyder)
Orange (https://orange.biolab.si/screenshots/)
QGIS (https://live.osgeo.org/_images/qgis_style.png)
OpenShot (http://www.openshot.org/static/img/gallery/clip-overview.jpg)...
In Electron.Net: Build cross platform desktop apps using .NET core and ASP.NET coreI'm not familiar with R, but on the Python side, aside from the already-mentioned excellent Jupyter Notebook, you might also be interested in checking out Spyder, which is more of a dedicated IDE.
Download/screenshots: https://github.com/spyder-ide/spyder
Docs: http://pythonhosted.org/spyder/
EDIT: If you're on Windows, check out the Anaconda python distribution. I'm told it makes installing all the libraries you mentioned as easy as it is on *nix systems: https://www.continuum.io/downloads
In Ask HN: Machine Learning: Easiest way to transition from R to PythonSpyder repository: https://github.com/spyder-ide/spyder
In Spyder IDE 3.0 releasedAlso spyder: https://github.com/spyder-ide/spyder
In Release of IPython 5.0This looks really interesting (not to mention aesthetically appealing)!
In what situation would Rodeo be more appropriate than, say Spyder [0] or other native applications, and how do they differ in terms of functionality?
[0]: https://github.com/spyder-ide/spyder
In Rodeo – A data-centric IDE for Python