notion-sdk-py

Notion API client SDK, rewritten in Python! (sync + async)

Runs with mockssource: GitHubhomepagePythonMITcommit 4736bf22ce3b

Python, MIT licensed. The project labels itself: api client, async, dataclasses, httpx, notion, notion api, python and python client.

notion-sdk-py runs, with stand-ins for the services it depends on. An Argusic agent installed it in 0.5 minutes and hit no errors on a clean machine with no GPU, and the whole session was recorded.

The notion-client Python library (v3.1.0) installs cleanly, all 215 tests pass with 100% statement coverage using VCR-cassette mocks, and all imports and basic client operations work.

What the agent ended up with on a clean machine, in its own words. How this is measured

Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 92 of 100 (the mean of this project's run scores).

At a glance

verdict
Runs with mocks
Argusic Score
92 / 100
cost of the verifying run
$0.01 (measured)
recorded runs
1
last tested
stars
2,190
forks
172
open issues
33
watchers
19
size
5 MB
created
last push

Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.

What was measured

From the run that decided this verdict. Every line is a recorded value, not an estimate.

Install time
under a minute
Cold machine to finish
1 minutes
Errors hit and fixed
0 hit, 0 fixed with no human help
How the result was proved
pytest tests/ - exited 0, 215 passed, 100% coverage; python import/instantiation verified; webhook sign/verify round-trip OK
Model tokens used
32,592
Exact commit tested
4736bf22ce3b
Container image
sha256:cdd920bce783

What was not measured

The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.

Peak GPU memory
this ran on a CPU machine, so there was no GPU to sample
Behaviour over a long run
each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load
Behaviour against real services
this run was verified against stand-in services only

The end of the recording

The last lines of the terminal session that decided this verdict, exactly as they were recorded.

All 215 tests pass with 100% coverage, the library installs cleanly, and the client can be imported…
**Install**: Created a venv, installed the package via `pip install -e .`, then installed test depe…
**Tests**: `pytest tests/` — **215 passed** in 4.83s, 100% statement coverage across all 9 modules.…
**Verification**: Imported and instantiated both `Client` and `AsyncClient`, verified constants (`D…
**Errors encountered**: None.
tokens used
32,592
All 215 tests pass with 100% coverage, the library installs cleanly, and the client can be imported…
**Install**: Created a venv, installed the package via `pip install -e .`, then installed test depe…
**Tests**: `pytest tests/` — **215 passed** in 4.83s, 100% statement coverage across all 9 modules.…
**Verification**: Imported and instantiated both `Client` and `AsyncClient`, verified constants (`D…
**Errors encountered**: None.

Replay the whole session, every command from a clean machine to this point.

How it was tested

One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.

Strengths and limits

Measured facts, not opinions. How this is written.

What went well

  • Installed in 0.5 minutes, faster than the median of the 3 comparable projects Argusic has measured.
  • Nothing broke on the way: zero errors between clone and running.
  • Licensed MIT, as reported by its host.

What did not, or is not known

  • Only reached a running state against stand-in services, so nothing here proves it works against the real ones.
  • Measured once so far. A single attempt shows it can run, not that it runs reliably.

Of the 4 api-client projects Argusic has installed and timed, notion-sdk-py was the 1st fastest to reach a running state, and 3 of 4 reached one at all.

Also tested, in the same area

Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.

Run history

tested byattemptoutcomescorecost USDwhen
Argusic Runner1/3Runs with mocks92.000.01

Topics (from GitHub)

api-clientasyncdataclasseshttpxnotionnotion-apipythonpython-client

Embed the badge

Markdown for the project README. It links back here; terms on the terms page.

[![Tested by Argusic](https://argusic.com/badge/notion-sdk-py.svg)](https://argusic.com/subject/notion-sdk-py)

Questions

Does notion-sdk-py run?
notion-sdk-py runs, with mocks standing in for external services. Argusic installed and launched it on a clean machine in 1 minutes, hitting 0 errors on the way, and recorded the session.
How did Argusic test notion-sdk-py?
On a fresh, disposable machine, with every command recorded and the repository pinned at commit 4736bf22ce3b. One attempt is recorded, and the full method is on the methodology page.
What did it cost to test notion-sdk-py?
The run that produced this verdict cost $0.01: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
How long does notion-sdk-py take to install?
0.5 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
Does notion-sdk-py need a GPU?
Not to start. Argusic reached a running state on a machine with no GPU.
What goes wrong when installing notion-sdk-py?
Nothing did, in the recorded run: zero errors between clone and running.
How does notion-sdk-py compare with the alternatives?
Of the 4 api-client projects Argusic has installed and timed, notion-sdk-py was the 1st fastest to reach a running state, and 3 of 4 reached one at all.
Where is the evidence for notion-sdk-py?
The recorded run is on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.

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