rocketry
scheduled_thread_pool_executor
| rocketry | scheduled_thread_pool_executor | |
|---|---|---|
| 32 | 1 | |
| 3,178 | 1 | |
| - | - | |
| 0.6 | 0.0 | |
| 6 months ago | over 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
rocketry
-
Is SQL a prerequisite to learning Python ?
Intuitive scheduling framework: https://rocketry.readthedocs.io/
-
Easiest way to run a scheduled Python script?
One easy option would be to use Rocketry, it's pure Python:
-
Scheduling in Data Engineering
It has bunch of features: logical scheduling syntax, parallelism/concurrency, dynamic parametization, log to database etc. You can read from the docs: https://rocketry.readthedocs.io/
-
Run external programs intuitively in Python
It's the creator of Rocketry, Red Mail and Red Box again. This week I thought to make it easier to integrate command-line programs to your Python applications.
-
Should i use airflow
If you don't need fancy UIs (or you can create those yourself), I have heard some people are replacing Airflow with Rocketry. Rocketry is very easy to set up and use and its scheduling mechanics are pretty advanced.
-
Email Utility
If you need a scheduler (that also supports custom conditions like "run when there is X amount of emails"), I have another library for that: Rocketry
-
Trying to send Email
Smtplib is a pain to work with (which is the reason I wrote Red Mail). For the scheduling, I also happen to have a library that is often useful for this sorts of problems: https://rocketry.readthedocs.io
-
WHAT ENGINE IS THE BEST FOR PROTOTYPING?(Python)
I have been thinking of creating an algo using Rocketry at some point. It's very easy to create custom conditions and combine these with logical statement. For example, you could set your algo (a function) running when volatility is x amount and you have y amount balance.
-
I have developed a simple Task Orchestrator
I have been tackling the same problem and it has recently gained popularilty. In case you want to take a look at Rocketry: https://github.com/Miksus/rocketry
- A statement-based scheduling framework for Python
scheduled_thread_pool_executor
-
ScheduledThreadPoolExecutor in Python
View on GitHub
What are some alternatives?
Python Fire - Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
brish - Safely embed Zsh in Python.
rocketry-with-fastapi - Example of how to create a scheduler with an API
incubator-airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows [Moved to: https://github.com/apache/airflow]
django-formset - The missing widgets and form manipulation library for Django
pyscaffold - 🛠Python project template generator with batteries included
protobuf_to_pydantic - Generate a pydantic.BaseModel with parameter verification function from the Python Message object(by the Protobuf file).
dagster - An orchestration platform for the development, production, and observation of data assets.
red-mail - Advanced email sending for Python
schedule - Python job scheduling for humans.
pyTRS - A Python library for parsing real-world Public Land Survey System (PLSS) land descriptions (or "legal descriptions") for use in data analysis, GIS mapping, spreadsheets, etc.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows