DEEP Python Client
DEEP is an open source dynamic insight engine based on the Grafana stack. The idea is to allow dynamic collection of Traces, Metrics, Logs and Snapshots via the Grafana UI.
Usage
To use DEEP simple import the package and start the agent at the earliest point in the code.
pip install deep-agent
import deep
deep.start()
Examples
There are a couple of examples available here.
Documentation
For further documentation on the usage of deep-agent view the docs.
Licensing
For licensing info please see LICENSING.md
Metadata
Release files for deep-agent 1.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| deep_agent-1.1.2.tar.gz | 79.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| deep_agent-1.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 178.6 kB
Release files / deep_agent-1.1.2.tar.gz
| Download URL | deep_agent-1.1.2.tar.gz |
|---|---|
| Size | 79.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|
Release files / deep_agent-1.1.2-py3-none-any.whl
| Download URL | deep_agent-1.1.2-py3-none-any.whl |
|---|---|
| Size | 99.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|