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73 likes

Combines advanced editing, analysis, debugging, and profiling functionalities with data exploration, execution, and visualization capabilities. Expandable using its powerful plugin system and API, providing flexibility for custom integrations.

Spyder screenshot 1

Cost / License

  • Free
  • Open Source (MIT)

Origin

  • US flagUnited States

Platforms

  • Mac
  • Windows
  • Linux
  • Flathub
  • Python
  • Flatpak
73 likes
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Features

Properties

  1. Support for Themes
  2. Privacy focused

Features

  1. Ad-free
  2. Syntax Highlighting
  3. Dark Mode
  4. Works Offline
  5. Full-Text Search
  6. No registration required
  7. No Tracking
  8. Supports Python
  9. Python IDE
  10. Debugging
  11. Static Code Analysis
  12. Built-in terminal emulation

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Comments and Reviews

Top Positive Comment
ph soft
★★★★★
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Reasonable IDE for python. Easy to use. Can work with other distributions.

Diatomee
★★★★★
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0

Very good for Python beginners like me

CeesT
★★★★★
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0

Spyder 2.1beta1 has call tips, but i couldn't get code completion to work automatically. It also has no indentation guides. I'm sticking with Programmer's Notepad.

rsnemmen
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Very hard to get this software working under Mac OS X, be warned

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Open-Source Slopware

A list of open-source software containing slop (LLM generated) code or endorses the usage of LLMs in other ways. This list contains software that obviously accepts irresponsible coding practices or promotes LLM usage. I found these applications while searching for alternatives to previously used software that turned out to contain code generated by slop-machines. Each of added applications have at least one link that points to the verifiable proof. This list by no means is meant to cover all the software that contains code by not-so-intelligent tools and people using them but to serve as a reminder to myself about what I have already checked. Why having LLM generated code (and using generative tools in general) is bad? Ethical reasons — such as illegally retrieved training material, underpaid workers that prepare the training data. Impact on environment — increased fossil fuel usage to supply the needed electricity power, water usage in water scarce regions. This somewhat overlaps with the above. Social impact – noise pollution in neighbourhoods near AI data centres, air pollution from diesel- or gas-powered turbines (also overlaps with the above), resource consumption by data centres drastically increases utility prices. Impact on brain and thinking, reasoning — by offloading thinking and decision making to machines people are shooting in their foot (more like in their head) as this leads to brain rot. Less intelligent people are easier to control. Even legal issues (especially in open-source software as it cannot be guaranteed that the "generated" code is not really just re-used, thus unknowingly violating the source license). Inevitable enshittification — every software product from big technology eventually gets enshittified to maximize revenue. For users this could mean hidden or plain ads, biased opinions/information, privacy violations, increased prices for LLM based tools. Burden on open-source software maintenance — LLM tools provide easier access to code contributions which often shifts the responsibility of checking code quality from developers to maintainers and reviewers. Digging through walls of merge request text and code generated by slop-machines takes valuable time that otherwise could be spent more meaningfully by fixing bugs and working on new features. I will try to add links that back up the claims above, but it may take a while. Of course, I see how and where generative tools could be helpful and sometimes I feel tempted to find an acceptable way to use them, but for now the direct and indirect costs far too much outweigh gains. This list has its positive counterpart: Slop-Free (Supposedly) Open-Source Software (not quite complete yet). Also take a look at and give thumbs up to AI Slopfree Software Catalog which contains software dedicated against usage of LLMs. Also, here is a list of some labels that can be added / voted for so they would eventually appear on application pages: Slopware; Slop (LLM) Code; Slop-Source Software; Open-Source Slopware; Contains Slop (LLM Generated) Code.
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Linux FOSS

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What is Spyder?

Spyder is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It offers a unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep inspection, and beautiful visualization capabilities of a scientific package.

Beyond its many built-in features, its abilities can be extended even further via its plugin system and API. Furthermore, Spyder can also be used as a PyQt5 extension library, allowing you to build upon its functionality and embed its components, such as the interactive console, in your own software.

Spyder information

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Development

GitHub repository

  • 9,346 Stars
  • 1,809 Forks
  • 1353 Open Issues
  • Updated
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Our users have written 4 comments and reviews about Spyder, and it has gotten 73 likes

Spyder was added to AlternativeTo by wskiger on and this page was last updated . Spyder is sometimes referred to as Pydee.

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