Private insights from network trace data -- Client
Project description
Mantle
Generate insights from private network trace data on-prem.
Getting started
- Create a virtual env using Anaconda, Miniconda and create an environment
python=3.12 - Install mantle and it's dependencies using
pip install mantle-client - Launch Jupyter notebook and
- import mantle as
from mantle_client.client import Client - connect to servers
client = Client(<url>, <username>, <password>)
- import mantle as
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
mantle_client-0.1.2.tar.gz
(3.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mantle_client-0.1.2.tar.gz.
File metadata
- Download URL: mantle_client-0.1.2.tar.gz
- Upload date:
- Size: 3.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
003864adadab2af6cbb488f1e8efd61299b9375d0e611cfc90fa40bac1009143
|
|
| MD5 |
81fc3804ab2b6885adba8e355940551d
|
|
| BLAKE2b-256 |
6586f2125213faa7372837ac606afb8ee19f24e59c6f6b2ddd18d4fc57f4e799
|
File details
Details for the file mantle_client-0.1.2-py3-none-any.whl.
File metadata
- Download URL: mantle_client-0.1.2-py3-none-any.whl
- Upload date:
- Size: 3.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ac773f369f436c49d70533ff5dce3006e3f52c3b65646f6e88d3cd5071cc249c
|
|
| MD5 |
941dc173d9186f3eb10e4041a3ef4051
|
|
| BLAKE2b-256 |
285b5b90d8481dd6c35e6ce8eaca55ee5afeab3f68186c8d37f0905658c647b2
|