This release is a pre-release and may not be stable for production use.
galileo-jupyter
Tools for analyzing galileo experiments.
Configuration
Create a $HOME/.galileojp and fill with environment variables that configure the database access to galileo-db.
For example:
galileo_expdb_driver=mixed
galileo_expdb_mysql_host=localhost
galileo_expdb_mysql_port=3307
galileo_expdb_mysql_db=galileo
galileo_expdb_mysql_user=galileo
galileo_expdb_mysql_password=mypassword
galileo_expdb_influxdb_url=http://localhost:8086
galileo_expdb_influxdb_token=...
galileo_expdb_influxdb_timeout=10000
galileo_expdb_influxdb_org=galileo
galileo_expdb_influxdb_org_id=...
Usage
Then you can run
from galileojp.frames import MixedExperimentFrameGateway
efg = MixedExperimentFrameGateway.from_env()
efg.telemetry('my-exp-id') # returns a dataframe containing the telemetry for the given experiment
Release files for galileo-jupyter 0.0.2.dev9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| galileo-jupyter-0.0.2.dev9.tar.gz | 11.7 kB | Without provenance | Details |
Release files / galileo-jupyter-0.0.2.dev9.tar.gz
| Download URL | galileo-jupyter-0.0.2.dev9.tar.gz |
|---|---|
| Size | 11.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
6bfaaa4a591ebd47c0780585cda118412593d3a2a1c625815f53eb9aa5437504
|
|
BLAKE2b-256 checksum How to use checksums |
37afde9e386ad46a83974412eb5677429a8948e38fd02593631e33b709288572
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.13
|
Security for galileo-jupyter 0.0.2.dev9
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.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
