Spyder

What Spyder does

Spyder is an open-source scientific Python Integrated Development Environment (IDE) designed for scientists, data analysts, and engineers. It combines Jupyter-style interactive computing — including a Variable Explorer for inspecting NumPy arrays and Pandas DataFrames, an integrated IPython console, and a Plots pane for managing Matplotlib figures — with professional development tools such as a code editor with real-time linting and Language Server Protocol integration, a debugger, project management, and a Help pane. The IDE integrates natively with the PyData stack (NumPy, SciPy, Pandas, Matplotlib, SymPy, Conda) and is distributed as standalone installers for Windows, macOS, and Linux, and via Conda/Conda-Forge, PyPI, WinPython, and various Linux distribution package managers, with the user base evidenced by more than 350,000 downloads of Spyder 6 standalone installers within roughly six weeks of release.

The technical stack is built on Python with the Qt framework, leveraging Jupyter architecture (IPython kernels, Jupyter Server) for interactive computing. Recent major releases have materially expanded the platform: Spyder 6.0 (September 2024) introduced an SSH-based remote development architecture for HPC, cloud, and JupyterHub connection, a new modular plugin API that equalizes internal panes and external plugins, a new Debugger pane with IPython feature parity, and experimental Qt 6 support; Spyder 6.1.x (2025) extended this with JupyterHub connection support, SSH config file integration, Ruff and Flake8 linting, and Spyder-Terminal remote shell support. The product is supplemented by a first-party plugin suite (Spyder-Notebook, Spyder-Unittest, Spyder-Line-Profiler, Spyder-Terminal, Spyder-Env-Manager), a third-party plugin (Spyder-Watchlist), and supporting libraries (QtPy, QtAwesome, spyder-remote-services) maintained by the Spyder team.

Spyder operates as a community-developed project with no commercial revenue. It is unaffiliated with Anaconda or any commercial company and is fiscally sponsored by NumFOCUS, a registered 501(c)(3) charitable nonprofit that stewards donations received through the Open Collective platform. The project is sustained by a small core team (lead maintainer Carlos Córdoba, co-maintainer and release manager Daniel Althviz, plus several core and junior developers and a graphic/web designer) and a global community of hundreds of volunteer contributors. Funding has come primarily from grants — notably a two-year Chan Zuckerberg Initiative Essential Open Source Software for Science Cycle 5 grant (2023) that financed the remote development work, NumFOCUS Small Development Grants, a Google Season of Docs 2022 grant for documentation improvements, and a GitHub Accelerator award — supplemented by Open Collective donations. The product is provided free of charge with no paid tiers or commercial pricing.

Name

Spyder

Legal name

Spyder

Website

https://spyder-ide.org

Company type

Private

Founded year

2009

Operating status

Operating

Headcount range

1–10 employees

Short description

Spyder is a free, open-source scientific Python IDE for scientists, data analysts, and engineers, combining Jupyter-style interactive computing with professional development tools and PyData ecosystem integration. It is community-developed, fiscally hosted by NumFOCUS, and funded by grants and donations.

Ownership category

akta.pro rank

GTM type

B2C

Offering type

Software

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure

Revenue model

1. Community Donations (Open Collective): Individual users and organizations contribute financially through the Spyder Open Collective page. Donations are stewarded by NumFOCUS, a registered 501(c)(3) nonprofit. Monthly and one-time donations fund part-time core developers, a UI/UX designer, web infrastructure, and community outreach. Current balances and funding goals for specific features are publicly displayed on the donations page.
2. Chan Zuckerberg Initiative Grant: A two-year grant from CZI's Essential Open Source Software for Science Cycle 5 program funded remote development architecture and related features. This enabled hiring a team including Carlos Córdoba, Daniel Althviz, and others as full-time or part-time contributors.
3. NumFOCUS Small Development Grants: NumFOCUS provided targeted grants for specific improvements, including Windows installer enhancements and documentation (Google Season of Docs 2022).
4. Google Season of Docs: Google Season of Docs 2022 grant focused on improving and updating user documentation for Spyder 5's Editor features, plus developer documentation and tutorials.

Pricing tiers

Go-to-market motion1 record

Distribution channels6 records

Marketing channels8 records

Core offering

Spyder is a free, open-source scientific Python IDE that combines Jupyter-style interactive computing with professional IDE features (Variable Explorer, IPython Console, Plots pane, code analysis, debugger, projects). It is distributed as standalone installers for Windows, macOS, and Linux and via Conda, pip, and OS package managers. Spyder 6 added a remote development architecture enabling SSH-based connection to HPC clusters, cloud servers, and JupyterHub. The project is sustained by a global community of contributors and supplemented by first-party plugins (Spyder-Notebook, Spyder-Unittest, Spyder-Line-Profiler, Spyder-Terminal).

Product overview

Spyder is a single, unified open-source Python IDE written in Python for Python developers, designed specifically for scientists, data analysts, and engineers. It combines interactive data exploration features (Variable Explorer, IPython Console, Plots pane) with professional software development tools (Editor with real-time linting, Debugger, Projects). Spyder is a standalone downloadable application available on Windows, macOS, and Linux, and also installable via Conda, pip, and package managers. The core IDE is supplemented by a suite of first-party plugins (Spyder-Notebook, Spyder-Unittest, Spyder-Line-Profiler, Spyder-Terminal, Spyder-Watchlist) and supporting libraries (QtPy, QtAwesome, spyder-remote-services). Version 6.0 (2024) introduced a new remote development architecture allowing connection to remote servers, clusters, and JupyterHub via SSH. The project is community-developed and funded through donations via NumFOCUS and grants from the Chan Zuckerberg Initiative.

Differentiator

Problem solved

Functional benefit

Products and services

• Spyder IDE
• Spyder 6.0
• Spyder 6.1.x
• Spyder-Notebook
• Spyder-Unittest
• Spyder-Line-Profiler
• Spyder-Terminal
• Spyder-Watchlist
• spyder-remote-services
• QtPy
• QtAwesome

Quantifiable outcome

• 350,000+ downloads of new standalone installers within 6 weeks of release
• +3 more outcomes

Named customers1 record

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Feature10 records

Partnerships

Two partnerships are on record, tiered minor.

• Quansight LabsminorStrategic or Co-development Partner · 1 January 2024Quansight Labs has collaborated with Spyder through various engagements including hosting maintainers and facilitating grants. Carlos Córdoba was previously affiliated with Quansight, and the organization hosted documentation and development initiatives.
• TDK-MicronasminorStrategic or Co-development Partner · 1 January 2019TDK-Micronas sponsored Spyder development efforts through Quansight Labs to develop features requested by their users and to create custom Spyder plugins for their Automatic Test Equipment (ATE) in ASIC development. This was an early sponsorship that predated the CZI grant.

Scale indicators4 records

Recent moves6 records

Expansion highlights8 records

Direct peers

• JetBrains (PyCharm): PyCharm is a leading commercial Python IDE with a dedicated Scientific mode (variable explorer, conda integration, matplotlib viewer) explicitly positioned by Spyder's own value proposition as a comparable solution. Direct overlap in target users (Python developers, data scientists) and core IDE functionality (editor, debugger, project tools).
• Microsoft (VS Code): VS Code is referenced directly in Spyder's positioning as a general-purpose IDE with scientific Python extensions (Python, Jupyter, Pylance). Strong overlap in serving Python developers with extensible IDE workflows, including variable exploration and remote development via SSH, backed by significantly greater resources.
• Project Jupyter: Jupyter Notebook and JupyterLab are the dominant interactive computing environments for scientific Python, and Spyder explicitly positions itself as combining Jupyter-style interactivity with full IDE features. Direct overlap in target users and core interactive execution paradigm (IPython kernels, plots, variable inspection).
• Wingware (Wing Python IDE): Wing is a long-standing commercial Python IDE with a strong scientific Python user base, offering a Variable Explorer and integrated debugging similar to Spyder. Direct competitor in the developer-facing Python IDE market with overlapping scientific workflow features.

Emerging players

• Thonny: Thonny is a beginner-friendly Python IDE that bundles its own Python interpreter and emphasizes ease of use. Partial overlap with Spyder in providing an integrated scientific/educational Python environment, though targeted more at learners and teaching than at advanced scientific computing.
• PyDev: PyDev is an open-source Python IDE plugin for Eclipse, providing code analysis, debugging, and interactive console features for Python development. Partial overlap as a Python IDE serving developers with comparable core functionality (linting, debugging, project navigation).
• RStudio (Posit): RStudio/Posit provides an integrated development environment for data science with similar interactive variable exploration, plotting, and reproducible workflow features. While focused on R, Posit's expansion into Python (reticulate, Quarto) creates growing overlap in the polyglot data science IDE category.
• DataCamp Workspace: DataCamp Workspace is a cloud-based data science notebook/IDE combining Python and R with interactive exploration. Partial overlap as a modern IDE-like environment for data analysts, though delivered as a hosted SaaS rather than a downloadable desktop IDE like Spyder.

Others

• Anaconda: Anaconda is the commercial distributor of the Anaconda Python distribution and Conda package manager — both referenced as primary distribution channels for Spyder. Not a direct IDE competitor, but a closely related ecosystem participant for scientific Python tooling and packaging.
• Quansight: Quansight Labs is an open-source consultancy in the PyData ecosystem that has collaborated with Spyder (e.g., hosted maintainers, facilitated grants, and previously employed lead maintainer Carlos Córdoba). Ecosystem enabler and partner rather than a competing IDE.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

• GitHubgithub.com/spyder-ide/spyder
• YouTubeyoutube.com/c/spyderide
• Xx.com/spyder_ide
• Facebookfacebook.com/SpyderIDE

Revenue estimate

Valuation estimate

Number of profiles

Profiles9 records

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Spyder