Skip to main content

labnotes

Browse experiment designs, notes, and run data from a folder.

uvx labnotes server

A project's root is the folder holding its .labnotes.toml. labnotes init writes one with the default layout:

[experiments]
path = "{experiment}"

[files]
path = "{experiment}/files/"

[runs]
path = "{experiment}/runs/{run}"

Each path is relative to the root. {experiment} and {run} stand for folder names: the experiments path must use {experiment}, and the runs path both. labnotes reads the file from the working folder, or from the path given with -c.

labnotes experiments reads three tables from those paths:

  • experiments: name, and config, the experiment's experiment.toml as JSON. An experiment is a folder matching the experiments path that holds an experiment.toml, files or runs.
  • files: experiment, filename, path, ctime, mtime.
  • runs: experiment, id, folder, created, ended, exit_code, error, stdout, stderr, and params as JSON, read from each run folder's run.json.

Keys come from folder names, so renaming a folder renames its rows on the next read. Paths are relative to the root, and times are UTC ISO 8601.

labnotes experiments            # name, last_run, created, files, runs
labnotes experiments foo        # the same, plus config
labnotes experiments foo runs   # foo's runs, oldest first

Each takes --format table (the default) or --format json.

labnotes experiments new [NAME] creates an experiment folder with a starter experiment.toml, picking a random name if you give none. new itself can't be an experiment name.

labnotes experiments foo run runs foo from its experiment.toml, in the experiments folder:

name = "Model and effort"
command = "uv run scripts/study.py --output {run_dir}"
repeats = 5

[params]
model = ["opus", "sonnet"]
effort = ["low", "high"]

name is optional: a display name for the experiment, shown in the live view and as display_name in experiments. The folder name stays the key, so renaming the experiment means editing name. Each combination of [params] runs repeats times, round-robin. Only runs that exit 0 count, so running again fills in what failed or never ran. Each run gets a new run folder. command runs in a shell from the root, with {run_dir} replaced by the run folder's absolute path. Pass it to the script so it writes its outputs there. Each param is appended as --name value, with the name as written (use source-language for a --source-language flag), booleans as 0 or 1, and lists and tables as JSON. labnotes writes run.json (params, created, ended, exit code), stdout.log and stderr.log to the run folder. To exclude a run, add "excluded": true and an optional "reason" to its run.json. An excluded run doesn't count toward repeats, so the next run replaces it; both show as columns in runs.

In a terminal, run shows a live table of runs (status and time) and stays open when they finish; q quits. Elsewhere, or with --no-tui, it prints a line per event instead.

  • --concurrency N runs N at a time (default 1).
  • -e PATH reads another file instead of experiment.toml.
  • Ctrl-C stops the running scripts and records their end. A second Ctrl-C kills them. Closing the terminal or sending SIGTERM stops them the same way, then kills any still going 5 seconds later.
  • A second run of the same experiment fails while the first holds the lock.
  • It exits 1 if any run failed.

labnotes server doesn't read .labnotes.toml yet. Give it the two folders it uses with --experiments-folder and --data-folder:

  • --experiments-folder holds one subfolder per experiment, each with a design.yaml (with a study key) and any number of markdown notes.
  • --data-folder holds the run data and a .dirsql.toml that declares a runs table with a study column. An experiment's runs are the rows whose study matches its design's.

That serves a local site at http://127.0.0.1:8000: a table of experiments, and a page per experiment with its parameters, its notes, progress per cell of the design grid, and every run so far. Both folders are watched, so a reload shows new runs and edited notes.

design.yaml keys the site reads: study, fixed, varies (each key a list of values), runs_per_cell, and completed_run, a SQL condition over the runs table that marks a run as complete. Anything else shows up as-is.

-h/--host and -p/--port change where it listens; -h 0.0.0.0 (or a Tailscale IP) serves beyond localhost. Every other uvicorn option passes through: --reload, --workers, --proxy-headers, --root-path, the --ssl-* set, and the rest. labnotes server --help lists them. LABNOTES_EXPERIMENTS_FOLDER and LABNOTES_DATA_FOLDER can stand in for the folder flags.

Agent skill

npx skills add thekevinscott/labnotes

The skill tells a coding agent to run labnotes context, which prints a usage guide for the installed version.

Metadata

Release files for labnotes 0.0.19

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for labnotes 0.0.19
File Size Uploaded
labnotes-0.0.19.tar.gz 102.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for labnotes 0.0.19
File Interpreter ABI Platform
labnotes-0.0.19-py3-none-any.whl Python 3 none any Details

Total release size: 156.1 kB

Release files / labnotes-0.0.19.tar.gz

Download URL labnotes-0.0.19.tar.gz
Size 102.0 kB
Tags Source
SHA-256 checksum
How to use checksums
9921831a279c3c863f2ebad8422ae7fd7faee5b610c2f1eff7ea4945eeb83c07
BLAKE2b-256 checksum
How to use checksums
e27f69bedebb8185dc0aab3630dcf15384ab77fdcaaea527d335d7c0231a04e4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 18, 2026.

Transparency log

Release files / labnotes-0.0.19-py3-none-any.whl

Download URL labnotes-0.0.19-py3-none-any.whl
Size 54.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
fc50167f296b68e5d57ea86ba68ca46c474cdf2d9f2d9ba2986d112eac73c6a2
BLAKE2b-256 checksum
How to use checksums
cdab5928882e303a9e5b2da39a37b8192fd267e59eeb23c75c5069446d0f63d3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 18, 2026.

Transparency log

Release history Release notifications | RSS feed

0.0.22

2 release files

0.0.21

2 release files

0.0.20

2 release files

This release

0.0.19 This release

2 release files

0.0.18

2 release files

0.0.17

2 release files

0.0.16

2 release files

0.0.15

2 release files

0.0.14

2 release files

0.0.13

2 release files

0.0.12

2 release files

0.0.11

2 release files

0.0.10

2 release files

0.0.9

2 release files

0.0.8

2 release files

0.0.7

2 release files

0.0.6

2 release files

0.0.5

2 release files

0.0.4

2 release files

0.0.3

2 release files

0.0.2

2 release files

0.0.1

2 release 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