temporian
pgmq
| temporian | pgmq | |
|---|---|---|
| 12 | 14 | |
| 629 | 897 | |
| 3.2% | 13.4% | |
| 9.8 | 8.9 | |
| 5 days ago | 24 days ago | |
| Python | Rust | |
| Apache License 2.0 | PostgreSQL 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.
temporian
pgmq
- Pgmq: Lightweight message queue extension for Postgres
- Replace SQS / RSMQ with pgmq: A lightweight message queue based on Postgres
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Introducing pgzx: create PostgreSQL extensions using Zig
And lots of interesting extensions use it, like
https://github.com/tembo-io/pgmq
https://github.com/zombodb/zombodb
https://github.com/supabase/pg_jsonschema
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Show HN: Hatchet – Open-source distributed task queue
Have you considered https://github.com/tembo-io/pgmq for the queue bit?
- Show HN: An SQS Alternative on Postgres
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Postgres as Queue
some notes about pgmq, https://github.com/tembo-io/pgmq, that is on this list. It is built as an extension in Postgres, which makes it compatible with all languages that have a Postgres driver.
There's no 'magic' to it, it uses existing Postgres features so all the performance and consistency guarantees of Postgres are to be expected. Easily gets to 10k+ concurrent reads and writes even on smaller sized Postgres instances, which is more than most applications need.
- FLaNK Weekly 31 December 2023
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What are the best job-scheduling tools, frameworks or libraries?
Newer project but there's no library needed. https://github.com/tembo-io/pgmq. They have a pretty simple SQL api similar to SQS. It's an extension though, so some cloud provider will not support it.
- FLaNK Stack Weekly for 20 Nov 2023
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Choose Postgres Queue Technology
PGMQ does not require a client library, https://github.com/tembo-io/pgmq so long as your language of choice can run SQL. All the functions live in Postgres, and you just call them with SQL statement. Very similar feel and semantics to SQS.
What are some alternatives?
functime - Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
pg-boss - Queueing jobs in Node.js using PostgreSQL like a boss
OpenVoice - Instant voice cloning by MyShell.
kubeblocks - KubeBlocks is an open-source control plane that runs and manages databases, message queues and other data infrastructure on K8s.
tsflex - Flexible time series feature extraction & processing
FLaNK-EveryTransitSystem - Every transit system
hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
torchgeo - TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
CML_AMP_Intelligent-QA-Chatbot-with-NiFi-Pinecone-and-Llama2 - The prototype deploys an Application in CML using a Llama2 model from Hugging Face to answer questions augmented with knowledge extracted from the website. This prototype introduces Pinecone as a database for storing vectors for semantic search.
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
screenshot-to-code - Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)