HawkFlow.ai
Project description
HawkFlow.ai
Monitoring for anyone that writes code
- Install the pip package
pip install hawkflow
- Usage:
import time
from hawkflowclient.hawkflow_api import *
# authenticate with your API key
hf = HawkflowAPI("YOUR_API_KEY")
# start timing your code - pass through process (required) and meta (optional) parameters
print("sending timing start data to hawkflow")
hf.start("your_process_name", "your_meta_data")
# do some work
print("sleeping for 5 seconds...")
time.sleep(5)
# end timing this piece of code - process (required) and meta (optional) parameters should match the start
print("sending timing end data to hawkflow")
hf.end("your_process_name", "your_meta_data")
More examples: HawkFlow.ai Python examples
Read the docs: HawkFlow.ai documentation
What is HawkFlow.ai?
HawkFlow.ai is a new monitoring platform that makes it easier than ever to make monitoring part of your development process. Whether you are an Engineer, a Data Scientist, an Analyst, or anyone else that writes code, HawkFlow.ai helps you and your team take ownership of monitoring.
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
hawkflow-0.0.9953.tar.gz
(6.9 kB
view details)
Built Distribution
File details
Details for the file hawkflow-0.0.9953.tar.gz
.
File metadata
- Download URL: hawkflow-0.0.9953.tar.gz
- Upload date:
- Size: 6.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.7.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 65f7b6f0a5579500c961d43603ae3dc3fd81d56d84a3d9609e3825ce74105e61 |
|
MD5 | 9d37c717192a420af6eee3daeaeb527e |
|
BLAKE2b-256 | 2de0a2802da543593f1c3f9a0b2383bfff735b577e2d732a494190ebb1be841f |
File details
Details for the file hawkflow-0.0.9953-py3-none-any.whl
.
File metadata
- Download URL: hawkflow-0.0.9953-py3-none-any.whl
- Upload date:
- Size: 9.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.7.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6ae464acfa2e15ce77c514766c73b772fbc768fc357248898019041a98bc903e |
|
MD5 | d2333a2d3a60e9c0eae25b9abd09f10d |
|
BLAKE2b-256 | ffbbe249a34703ae1cd7e47d1dab9e32b725b4f971a3a2d9bc04fa5de003bb54 |