Rudderstack
Mage
Rudderstack | Mage | |
---|---|---|
83 | 77 | |
3,940 | 7,050 | |
1.1% | 3.5% | |
9.8 | 9.9 | |
3 days ago | 5 days ago | |
Go | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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.
Rudderstack
- Rudderstack Switches to Elastic License
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What is the role of data integration in a Customer Data Platform (CDP)?
If CDP(such as RudderStack) were a restaurant, then Data Integration is the guy that gets all raw ingrediants from different shops and makes it available to Chef that sorts and combines raw ingrediants to make a dish. The chef can't cook anything without raw ingrediamt. Similarly Data Integration is also an important component in CDP that collects customer data from various sources and them other components unify it and activate it.
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Replacing Google Tag Manager with Open-Source alternative
More details on GitHub repository - https://github.com/rudderlabs/rudder-server
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In honor of this sub shutting down, I'm sharing my all-time favorite post.
Are you RudderStack?
- RudderStack v1.8 release - headless customer data platform
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Google Analytics 4 Has Me So Frustrated, We Built Our Own Analytics Service
In bigger setups, all you want is a data collector and router so that you can feed the data into multiple destinations, depending on the use case. Analytics is just one. Example: https://www.rudderstack.com/ & https://www.rudderstack.com/replace-google-analytics-4-guide...
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I want to contribute to open source but don't know where to start
Check out RudderStack, a Go project to build data pipeline. Our slack is quite active. The best way to contribute is by creating a new integration with your favorite tool. You do not need to rely to too much on existing knowledge about inner workings of the project to do so, so it is beginner friendly.
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Hot Takes on the Modern Data Stack
Interesting. About "Redshift need google sheet sync to table", wouldn't this be more aligned with the responsibility of a CDP(such as RudderStack) as opposed to something we expext a warehouse to do?
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Writing few lines of open-source js/python code can get ₹8k-80k. Is it a good reward for an oss challenge? Last day, more prizes than the participants until now :)
The challenge is over. Winners have been announced. When we are ready for the next one, will announce on RudderStack GitHub repo
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Project showcase: sample Data Lakehouse
Super. This is amazing. Sharing your project with the community. If you get a chance, try out RudderStack to build your pipeline.
Mage
- FLaNK AI-April 22, 2024
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A mage on the Hero’s Journey: a fantasy epic on how a startup rose from the ashes
In the coming years, Mage will create a cooperative experience so that developers can build data pipelines with their team and level up together. After that journey, Mage will go on an epic quest to create the 1st open world community experience in the data universe.
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Data sources episode 2: AWS S3 to Postgres Data Sync using Singer
Link to original blog: https://www.mage.ai/blog/data-sources-ep-2-aws-s3-to-postgres-data-sync-using-singer
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What are some open-source ML pipeline managers that are easy to use?
I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home
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Mage Battlegrounds: Craft insights from real-time customer behavior analysis
You're invited to participate in the very first Mage Battlegrounds: Craft insights from real-time customer behavior analysis, a 24-hour virtual hackathon hosted by Shashank Mishra! This data engineering competition will take place on Saturday, April 15, 2023 beginning at 11am (PST). This will be a global event open to all participants who register.
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Looking for an open-source project
Try this feature: https://github.com/mage-ai/mage-ai/issues/1166
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Daskqueue: Dask-based distributed task queue
Seeing if we can use it in https://github.com/mage-ai/mage-ai
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Data Pipeline on a Shoestring
That being said there’s a solid family of services just breaking ground that make the local pipeline deployment easier (check out https://www.mage.ai, which does have a clear path to cloud deployment of locally developed pipes, it just isn’t well documented yet, and also https://www.neuronsphere.io - which doesn’t have a public solution YET (they’re internally testing an alpha) but they built a cloud deployable solution for their paying customers and working to release one for freemium use)
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Trending ML repos of the week 📈
7️⃣ mage-ai/mage-ai
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Delta without using Spark
Yes, check out how Mage does it: https://github.com/mage-ai/mage-ai/tree/master/mage_integrations/mage_integrations/destinations/delta_lake_s3
What are some alternatives?
Snowplow - The enterprise-grade behavioral data engine (web, mobile, server-side, webhooks), running cloud-natively on AWS and GCP
dagster - An orchestration platform for the development, production, and observation of data assets.
PostHog - 🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Socioboard - Socioboard is world's first and open source Social Technology Enabler. Socioboard Core is our flagship product.
vscode-dvc - Machine learning experiment tracking and data versioning with DVC extension for VS Code
unomi - Apache Unomi
sqlmesh - Efficient data transformation and modeling framework that is backwards compatible with dbt.
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
mito - The mitosheet package, trymito.io, and other public Mito code.
Apache Kafka - Mirror of Apache Kafka
Data-Science-Roadmap - Data Science Roadmap from A to Z