Skip to main content

Vibe Boldly. Verify Everything.






vaibify creates secure, containerized environments for AI-assisted data analysis that can be accessed through a web browser. It fully embraces agentic AI code development, but recognizes that a human must verify all results. vaibify uses Docker containers to prevent AI agents from harming your sensitive data. These containers can be monitored and modified through an application that includes terminal window(s) for running agents like Claude Code, codex, or Gemini and "viewing windows" for inspecting results (data files, figures, animations). Work with agents to be creative in a sandbox, develop a toolkit, or enter "Project" mode, which enables pipeline development with automated and manual verification tracking for each step. vaibify is vigilant, alerting you to changes in your dependencies, so when your agent edits a critical file that updates an critical file, you immediately know all the downstream consequences. Seamlessly link your work with external resources like GitHub, Overleaf, and Zenodo for monitoring software development, writing reports, and archiving your results. vaibify allows you to vibe code with confidence: your host machine stays safe while the agents freely develop code and build your analysis pipeline — all with minimal IDE interaction — enabling you to focus on vetting the results via visual inspection, writing up a summary, and acting on the new insight. vaibify takes the pain out of creating byte-reproducible science.

In this screenshot of the vaibify dashboard, the steps to your workflow are tracked on the left. View the contents of the vaibify container along the top row in "viewing windows". Manage your agents and navigate the container yourself in terminal window(s) in the bottom of the GUI. Use buttons and menus to perform most basic tasks, or ask your agent to make changes. Additional pages allow you to create and manage containers and projects (see documentation).

Note that a full vaibify installation can take over an hour; the container requires the installation of a specific operating system. See the full documentation for installation instructions, CLI reference, configuration, security model, and contributor guidelines. But you can get started without the container if you just want to quickly try it out. Read the Quick Start Guide, then just run vaibify to launch the GUI that will guide you through building containers, creating workflows, syncing with external services, and verifying your vibe-coded scientific workflows.

Found a bug or something confusing? Please open an issue. Two things make a report much easier to act on: the output of vaibify doctor (a pre-flight check of your Docker environment), and the relevant lines from the host log at ~/.vaibify/vaibify.log.

If you use vaibify in your research, please consider citing "Barnes, R. (2026), PASP, submitted."

© 2026 Rory Barnes.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

vaibify-0.0.10.tar.gz (6.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

vaibify-0.0.10-py3-none-any.whl (2.8 MB view details)

Uploaded Python 3

File details

Details for the file vaibify-0.0.10.tar.gz.

File metadata

  • Download URL: vaibify-0.0.10.tar.gz
  • Upload date:
  • Size: 6.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for vaibify-0.0.10.tar.gz
Algorithm Hash digest
SHA256 1aa5352ae010134e73950f0545b6869d93e95c37cdc61c60bee2afd19b0a0c63
MD5 9d933f2b3b4fff3a5629ab9e3fb4abe2
BLAKE2b-256 9a4536e0024fc50eeb3ca4aed2396d7d376dff9f63675f2292f354d22cc6c9c4

See more details on using hashes here.

Provenance

The following attestation bundles were made for vaibify-0.0.10.tar.gz:

Publisher: pip-install.yml on RoryBarnes/vaibify

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file vaibify-0.0.10-py3-none-any.whl.

File metadata

  • Download URL: vaibify-0.0.10-py3-none-any.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for vaibify-0.0.10-py3-none-any.whl
Algorithm Hash digest
SHA256 00ea17ca9252212a33c04b6e349c8175fb15cd90bac63c98572ea172ad640d97
MD5 c89892c5815bcf54e9d9a0500f44fb17
BLAKE2b-256 0c97f223a88178d748caec84563e9b6f08ff1b09cd777dbc90fc40f0f84e1144

See more details on using hashes here.

Provenance

The following attestation bundles were made for vaibify-0.0.10-py3-none-any.whl:

Publisher: pip-install.yml on RoryBarnes/vaibify

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

0.0.11

2 files

This release

0.0.10 This release

2 files

0.0.9

2 files

0.0.8

2 files

0.0.7

2 files

0.0.6

2 files

0.0.5

2 files

0.0.4

2 files

0.0.3

2 files

0.0.2

2 files

0.0.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page