rocketry
jc
rocketry | jc | |
---|---|---|
32 | 96 | |
3,178 | 7,573 | |
- | - | |
0.6 | 9.5 | |
6 months ago | 3 days 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
jc
-
Xonsh: Python-powered, cross-platform, Unix-gazing shell
https://github.com/kellyjonbrazil/jc - "CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts."
-
Gooey: Turn almost any Python command line program into a full GUI application
> I'd love to see programs communicate through a typed JSON/proto format that shed enough details to make this more independent, and get useful shell command structuring/completion or full blown GUIs from simply introspecting the expected input and output types.
You should try PowerShell. It's basically Microsoft's .NET ecosystem molded into an interactive command line. I'm not entirely sure if PoweShell can make full use of the static types that build up its core, but its ability to exchange objects in the command line is almost unmatched.
On Linux you can use `jc` (https://github.com/kellyjonbrazil/jc) combined with `jq` (https://jqlang.github.io/jq/) to glue together command lines.
- jc: Converts the output of popular command-line tools to JSON
- why does the proc directory exist?
- Open source python projecto to contribute to
-
jq 1.7 Released
In addition to my previous comment about jq-like tools, I want to share a couple other interesting tools, which I use alongside jq are jo [0] and jc [1].
[0]: https://github.com/jpmens/jo
[1]: https://github.com/kellyjonbrazil/jc
-
The Case for Nushell
> I wanted to write some wrappers for the standard commands that automatically did all this via `jq`.
If you're not already aware of it, you may wish to check out `jc`[0] which describes itself as a "CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq..."
The `jc` documentation[1] & parser[2] for `ls` also demonstrates that reliable & cross-platform parsing of even "basic" commands can be non-trivial.
[0] https://github.com/kellyjonbrazil/jc
[1] https://kellyjonbrazil.github.io/jc/docs/parsers/ls
[2] https://github.com/kellyjonbrazil/jc/blob/4cd721be8595db52b6...
What are some alternatives?
Python Fire - Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
rocketry-with-fastapi - Example of how to create a scheduler with an API
jq - Command-line JSON processor
django-formset - The missing widgets and form manipulation library for Django
murex - A smarter shell and scripting environment with advanced features designed for usability, safety and productivity (eg smarter DevOps tooling)
scheduled_thread_pool_executor - Scheduled Thread Pool Executor implementation in python
jello - CLI tool to filter JSON and JSON Lines data with Python syntax. (Similar to jq)
protobuf_to_pydantic - Generate a pydantic.BaseModel with parameter verification function from the Python Message object(by the Protobuf file).
babashka - A Clojure babushka for the grey areas of Bash (native fast-starting Clojure scripting environment) [Moved to: https://github.com/babashka/babashka]
red-mail - Advanced email sending for Python
Octo Pack - Creates Octopus-compatible NuGet packages