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Typhoon-orchestrator Alternatives
Similar projects and alternatives to typhoon-orchestrator
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n8n
Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Mage
🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
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kestra
Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.
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flyte
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
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JokeAPI
REST API that serves uniformly and well formatted jokes in JSON, XML, YAML or plain text format that also offers a great variety of filtering methods
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astro-sdk
Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.
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astro
Discontinued Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow. [Moved to: https://github.com/astronomer/astro-sdk] (by astro-projects)
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better typhoon-orchestrator alternative or higher similarity.
typhoon-orchestrator reviews and mentions
Posts with mentions or reviews of typhoon-orchestrator.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-15.
- After Airflow. Where next for DE?
- New OSS Orchestrator - Where should we go next?
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Airflow's Problem
I have my own opinion on Airflow's pain points and created Typhoon Orchestrator (https://github.com/typhoon-data-org/typhoon-orchestrator) to solve them. It doesn't have many stars yet but I've used it to create some pipelines for medium sized companies in a few days, and they've been running for over a year without issues.
In particular I transpile to Airflow code (can also deploy to Lambda) because I think it's still the most robust and well supported "runtime", I just don't think the developer experience is that good.
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Data Engineering for very small businesses. Any experiences?
Typhoon Orchestrator This is a framework that I designed to help fix some of the pain points of Airflow so that I could build test and deploy pipelines faster. You could skip this step but if you want more info check here.
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CSV data library to database
I am also collaborating on an open source tool called Typhoon Orchestrator (repo). It aims to make composing airflow data pipelines simple and quite quick. Putting pipeline steps together like lego.
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Recommendations for simple ETL (Postgres to Snowflake)
The project (https://github.com/typhoon-data-org/typhoon-orchestrator) doesn't have many stars yet but I have deployed it on a medium sized hotel chain for several data sources with a similar use case to yours and it's been working for over a year with no intervention. If you decide to pursue this option I'd be willing to provide provide some support free of charge (feel free to PM me).
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Impress your friends! Make a serverless bot that sends daily jokes to a Telegram Group
Typhoon Orchestrator is a great way to deploy ETL workflow on AWS Lambda. In this tutorial we intend to show how easy to use and versatile it is by deploying code to Lambda that gets a random joke from https://jokeapi.dev once a day and sends it to your telegram group.
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My Thirty Years of Dodging Repetitive Work with Automation Tools
I think there's space for an open source library that can help with what you described. We originally created https://github.com/typhoon-data-org/typhoon-orchestrator to orchestrate ETL workflows, which would be a superset of the use cases you described. Our next goal is to allow deployment to AWS lambda which can be a good compromise between getting locked in with SAAS and hosting your own infrastructure.
Also check out Zappa's scheduled tasks that have a similar goal and inspired our library.
- Airflow, you complete me! Compose YAML DAGs for Airflow with auto-complete with Typhoon (Open Source).
- Use Airflow? Composable elegant YAML DAGS that transpile to Airflow. Zero risk and no migration.
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A note from our sponsor - SaaSHub
www.saashub.com | 10 May 2024
Stats
Basic typhoon-orchestrator repo stats
14
29
0.0
over 1 year ago
typhoon-data-org/typhoon-orchestrator is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of typhoon-orchestrator is Python.
Popular Comparisons
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