Free
Free
Open-source template and ccds CLI; the site documents pipx installation without listing a paid tier.
- Access
- Open-source template and ccds CLI; the site documents pipx installation without listing a paid tier.
Finding the possibilities
Data Science Project Structure
● Identity checkedDeveloper Tools · Vendor site 2026-10-04
Cookiecutter Data Science (CCDS) is a DrivenData project that provides a standardized repository layout and CLI for starting and sharing data science work. Version 2 installs via pipx as the cookiecutter-data-science package and scaffolds projects with configurable storage, Python version, and module naming.
- Category
- Developer Tools
- Free access
- Open-source template and ccds CLI; the site documents pipx installation without listing a paid tier.
- API access
- Not confirmed
Is Data Science Project Structure right for you?
A good fit for
Data scientists and ML engineers who want a repeatable project skeleton before experimentation and sharing code.
Before you choose
CCDS v2 requires Python 3.10+ and expects you to run the ccds command locally; it does not host datasets or notebooks in the cloud.
Standardized DS repos
Cookiecutter Data Science offers a logical, flexible project structure for doing and sharing data science work, now driven by the ccds command-line tool.
What it can do
Features & capabilities
Unknown is different from unavailable. Each fact carries its own evidence.
| Capability | Value | Evidence | Checked |
|---|---|---|---|
| CLI workflow | Quickstart instructs installing cookiecutter-data-science and running ccds from the parent directory to generate a new project. | Facts sourced | 2026-10-04 |
| Version 2 | Site announces CCDS v2 and notes it requires Python 3.10 or newer. | Facts sourced | 2026-10-04 |
| Template options | Example prompts include project name, Python version, and dataset storage choices such as none, Azure, S3, or GCS. | Facts sourced | 2026-10-04 |
Understand the total cost
Data Science Project Structure pricing & plans
Alternatives to Data Science Project Structure
View all ↗
IcedriveNew users can start with 10 GB free before upgrading to higher-capacity Pro plans for larger libraries.
Explore tool
FiberyFibery is a flexible work platform that replaces scattered SaaS tools with customizable databases, docs, and workflows for product, agency, and software teams. It combines no-code app building, automations, and AI credits in tiered workspace plans.
Explore tool
Raw QueryRaw Query lets teams chat with Postgres, MySQL, and MariaDB databases in plain English to query, export, insert, and update records with confirmations. It targets developers and business users who need ad hoc data access without building internal tools.
Explore toolThe practical questions
Frequently asked questions
What is Data Science Project Structure used for?
Cookiecutter Data Science (CCDS) is a DrivenData project that provides a standardized repository layout and CLI for starting and sharing data science work. Version 2 installs via pipx as the cookiecutter-data-science package and scaffolds projects with configurable storage, Python version, and module naming.
Does Data Science Project Structure have a free plan?
Open-source template and ccds CLI; the site documents pipx installation without listing a paid tier.. This record lists ongoing free access; check the plan limits before starting.
How much does Data Science Project Structure cost?
No paid monthly price is listed; this record treats the product as free to start. See the plan cards for entitlements, billing commitments and seat minimums.
Can I use Data Science Project Structure through an API?
Not confirmed. API access and subscription access may have different terms; consult the linked sources.
What should I check before choosing it?
CCDS v2 requires Python 3.10+ and expects you to run the ccds command locally; it does not host datasets or notebooks in the cloud.
Price history
No retained pricing changes yet. A current price alone does not establish a historical trend.
How this profile is supported
Identity and profile
Reviewed vendor source
Read original source ↗Facts apply to the named version and check date. Send a sourced correction if something changed.