A previous release had provenance metadata, but this release does not. View details.
Amphi for Jupyterlab
Amphi for JupyterLab is a Micro ETL designed for ingesting, cleansing, and processing data from files and databases. Amphi addresses use cases such as data extraction from structured and unstructured data, data preparation and enrichment, and data processing for LLMs-based systems. Use Amphi within the Jupyterlab environment to design your data pipelines with a graphical user-interface and generate native Python code you can deploy anywhere.
📣 Beta release
Amphi for Jupyterlab is currently in beta. To start with Amphi, see below for install instructions.
As Amphi is in beta version, we welcome feedback and suggestions. Join the Slack community or reach out directly at hello@amphi.ai.
Requirements
- JupyterLab >= 4.0
Install Jupyterlab + Amphi
If you want to launch Jupyterlab + Amphi, you can run the following commands. It is recommended to a virtual environment (venv or conda for example).
To install perform the following steps, with pip:
pip install --upgrade jupyterlab jupyterlab-amphi
For more installation instructions, visit the docs.
Install Amphi on an existing Jupyterlab instance
If you already have a Jupyterlab instance, just install the amphi package:
pip install --upgrade jupyterlab-amphi
Alternatively, you can search in the Extension Manager for Amphi.
For more information, see docs.
Metadata
Release files for amphi-scheduler 0.9.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Loss of provenance
These files do not have provenance metadata, despite files in a prior release including this data.
We recommend further investigation before installing these files. View details.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| amphi_scheduler-0.9.7.tar.gz | 2.6 MB | Without provenance | Details for amphi_scheduler-0.9.7.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| amphi_scheduler-0.9.7-py3-none-any.whl | Python 3 | none | any | Details for amphi_scheduler-0.9.7-py3-none-any.whl |
Total release size: 6.5 MB
Release files / amphi_scheduler-0.9.7.tar.gz
Loss of provenance
This file belongs to a release without provenance metadata, despite a prior release including this data.
We recommend further investigation before installing this file. View details.
| Download URL | amphi_scheduler-0.9.7.tar.gz |
|---|---|
| Size | 2.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2aaea3988bd305b4ba04006eabac4c31568aeebc577ef3a1168e34ee5b52937c
|
|
BLAKE2b-256 checksum How to use checksums |
cf09c15d6325c0907e729b50472cf37d8bb28740dc5137bd394ad4aa701f03d5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.6
|
Release files / amphi_scheduler-0.9.7-py3-none-any.whl
Loss of provenance
This file belongs to a release without provenance metadata, despite a prior release including this data.
We recommend further investigation before installing this file. View details.
| Download URL | amphi_scheduler-0.9.7-py3-none-any.whl |
|---|---|
| Size | 4.0 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
745c63aa9621ab7462f12a2aaf9dc3702d638516795e647cc5b002f38b7ab5d2
|
|
BLAKE2b-256 checksum How to use checksums |
fd25cae14892341e7344782b5676f690b801255b8e16d18dedf51f819ff33c7b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.6
|
Security for amphi-scheduler 0.9.7
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.
Loss of provenance
A previous release of these files had provenance metadata, but this release does not.
While this could reflect a routine change by the project maintainers, it may also indicate that the release files have been compromised.
Release comparison
- Removed 0.9.6 2 files With provenance
- Added 0.9.7 2 files Without provenance
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