sdk-java
sdk-python
sdk-java | sdk-python | |
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47 | 8 | |
193 | 377 | |
1.6% | 2.4% | |
8.6 | 8.2 | |
1 day ago | 8 days ago | |
Java | Python | |
Apache License 2.0 | 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.
sdk-java
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Show HN: Hatchet – Open-source distributed task queue
How does this compare against Temporal/Cadence/Conductor? Does hatchet also support durable execution?
https://temporal.io/
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When "letting it crash" is not enough
Flawless sounds a lot like https://temporal.io/ .
I'm wondering if it has the same scalability concerns - sticking everything in Postgres is fine at small-ish scale, but what happens when you outgrow Postgres, either because you have higher availability requirements (can't handle primary DB restarts) or because of the sheer volume of the workload?
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How To Collect Temporal.io Logs Using Axiom And Pino
Temporal is a scalable and reliable runtime for durable Workflow Executions. It enables you to develop as if failures don't even exist. I started exploring it over the Christmas holiday and using it for a recently open-sourced project.
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Ask HN: How have you implemented human-in-the-loop workflows?
I have my eyes on https://temporal.io/ for similar purposes.
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Which queue System you prefer for ecommerce and PS
Check out temporal.io open source project for a much cleaner solution using Durable Execution abstraction.
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StackStorm – IFTTT for Ops
Interesting to see Netflix featured both on StackStorm & https://temporal.io/ frontpages.
- Open source durable execution platform
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Leveraging Temporal for resilient remote procedure calls (RPC)
Our stack at Escape is written in multiple languages because each team has specific needs. We use TypeScript for its vibrant ecosystem, Python for cybersecurity research and Go for performance-sensitive tasks. To orchestrate cross-language task orchestration, we first developed a simple request-response protocol over HTTP, but it wasn't sustainable as the Escape codebase grew rapidly. We evaluated several technologies to replace our homegrown protocol, and two emerged as the most promising options: Connect and Temporal. The title gives it away, but the reason is far from obvious
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Ask HN: In which areas have you compared 3+ tools and formed strong preferences?
I've put a lot of time into Airflow and feel similarly that it's a huge pain and a risk to rely on it. I've replaced it with Temporal (https://temporal.io/) and while I don't have the breadth of experience with the frameworks you listed, I do think Temporal is a great replacement for Airflow.
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Inngest raises $3M seed to build the reliable workflow platform for every dev
Just to confirm my understanding; would you consider at least part of your product offering to be similar to temporal.io [1]? Your examples are reminiscent of theirs.
[1] https://temporal.io/
sdk-python
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The Many Problems with Celery
My problem with Temporal is that it doesn't support gevent https://github.com/temporalio/sdk-python/issues/59
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Pydantic V2 rewritten in Rust is 5-50x faster than Pydantic V1
> Unless Pydantic is downloading all OS binaries with the package and loading the right one at runtime, this would become a "problem" as well.
Nah, it's not that bad. I built a Rust-backed Python library used by many [0], and with setuptools-rust (maturin wasn't flexible enough at the time) and cibuildwheel and GH actions, the wheels are built/shipped with the shared libraries embedded and the end user never has to worry or even be aware of its presence.
Pydantic has already been shipping a binary mode with an option for pure Python, so maybe they'll keep the pure Python mode around.
0 - https://github.com/temporalio/sdk-python
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Python SDK: The Release
Either way, let us know how it goes! Building something cool? We’d love to hear about it! Our forum has a new Show & Tell section. If you want to share, we’ll send you some sweet swag. Have feedback on how we can do better? We want to know that too. Raise an issue in the SDK or samples repos, or send us an email ([email protected]).
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Making Python fast for free – adventures with mypyc
We built to logic backing the Temporal Python SDK[0] in Rust and leverage PyO3. Unfortunately Maturin didn't let us do some of the advanced things we needed to do for wheel creation (at the time, unsure now), so we use setuptools-rust with Poetry.
0 - https://github.com/temporalio/sdk-python
- GitHub - temporalio/sdk-python: Temporal Python SDK
- Temporal Python SDK Beta 2 – Fault-tolerant asyncio-based workflows
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Red Engine – modern scheduling framework for Python applications
Going to shamelessly plug Temporal’s Python SDK which was designed for asyncio.
https://github.com/temporalio/sdk-python
Disclaimer: I work for Temporal
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Temporal raises $100M Series B to invest in open source and communities
hey sorry for taking a while to respond, was busy with personal stuff and hope you see this.
1. yes. its on the order of months. start watching https://github.com/temporalio/sdk-python
2. temporal itself will not produce something like that, because we much rather have a lively community of third party maintainers/startups do that and be their supporters rather than competitors. interested?
What are some alternatives?
trigger.dev - Trigger.dev is the open source background jobs platform for TypeScript.
arq - Fast job queuing and RPC in python with asyncio and redis.
sdk-python - Python library for Modzy Machine Learning Operations (MLOps) Platform
matrix-mul-test - Testing matmul performance on the M1 Mac
windmill - Open-source developer platform to turn scripts into workflows and UIs. Fastest workflow engine (5x vs Airflow). Open-source alternative to Airplane and Retool.
samples-python - Samples for working with the Temporal Python SDK
inngestgo - Golang SDK for Inngest
shiv - shiv is a command line utility for building fully self contained Python zipapps as outlined in PEP 441, but with all their dependencies included.
litestream - Streaming replication for SQLite.
sdk-java - The official Java library for the Modzy Machine Learning Operations (MLOps) Platform
envelop-plugin-inngest - An envelop plugin that sends GraphQL response data to Inngest to help build event-driven applications.
rq - Simple job queues for Python