electricitymaps-contrib
meltano
electricitymaps-contrib | meltano | |
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64 | 10 | |
3,292 | - | |
1.0% | - | |
9.8 | - | |
about 16 hours ago | - | |
Python | ||
GNU Affero General Public License v3.0 | - |
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.
electricitymaps-contrib
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UK announces commercial operations of longest land/subsea interconnector
Indeed I’ve reported the bug here: https://github.com/electricitymaps/electricitymaps-contrib/i...
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Electricity Maps
It is open source and they generally scrape it from the most direct source: https://github.com/electricitymaps/electricitymaps-contrib
It started as an open source project and it became an entire company
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Calenda vs Bonelli: chi ha ragione sul nucleare
In realtà se ho capito bene è un bug del sito: https://github.com/electricitymaps/electricitymaps-contrib/issues/5485
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Germany: Renewables covered 50 percent of electricity consumption in the first quarter
I've read the issue, it's actually pretty interesting. You can keep track of progress on their GitHub repo
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Electricity production and consumption carbon intensity for 5 different European countries over the last 5 years
Source : electricitymaps.com , a great open data agregator Its various sources are listed there : https://github.com/electricityMaps/electricitymaps-contrib/blob/master/DATA_SOURCES.md
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Enough cherrypicking (2nd edition) : Here is the carbon intensity of electricity produced and consumed in Germany, France, Italy, Poland and UK for the last 5 years
Source : electricitymaps.com which enumerates its various sources here : https://github.com/electricityMaps/electricitymaps-contrib/blob/master/DATA_SOURCES.md You can checkout their whole github, it's full of interesting info on energy data
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Thanks Fr*nce
I have the data here, fueled by one open source project
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Enough cherrypicking, here is the carbon intensity of eletricity produced in Germany, France and the UK for the last 12 month, along with the production sources
The sources used by electricitymaps.com are listed here
- Fritidsjobb
- Flüssiggas fast so klimaschädlich wie Steinkohle
meltano
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Personal Project Guidance
I would use something like meltano or airbyte, but if you really want to use Lambda for extraction I'd say there is no point spinning up a Redshift cluster just for that, Athena would be the way to go and you can use dbt pretty nicely with it and it would keep costs down.
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Open source contributions for a Data Engineer?
Airbyte and Singer/Meltano if you want to learn more about ingestion pipelines. Airbyte and Meltano teams are very welcoming. SQLfluff a shiny SQL linter. Beautiful project with awesome maintainers.
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Looking for open source projects that use data pipelines and big data flows
I know really sure if this is what are you looking for, but take a look at Meltano
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Meltano ELT: Open-Source DataOps for the DevOps Era
I'm not aware of any. I did just open this issue[0] in the Meltano project to open discussion with the team/community. It could be an interesting iteration on the Singer Spec[1] if we find that users are interested in it and it helps solve some bottleneck challenges.
[0] https://gitlab.com/meltano/meltano/-/issues/2616
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Meltano: ELT for the DevOps era — Open source, self-hosted, CLI-first, debuggable, and extensible
Good point! As expected, there's an issue about adding it already: https://gitlab.com/meltano/meltano/-/issues/1175
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Launch HN: Airbyte (YC W20) – Open-Source ELT (Fivetran/Stitch Alternative)
At GitLab, we're not ready to give up on the Singer spec, community, and ecosystem yet, which is why I've been working on Meltano for the past year: https://meltano.com/
We think that the biggest things holding back Singer are the lack of documentation and tooling around taking existing taps and targets to production, and around building, debugging, maintaining, and testing new or existing high-quality taps and targets.
Meltano itself addresses the first problem, and provides a robust and reliable platform for building, running & orchestrating Singer- and dbt-based ELT pipelines.
At the same time, we have been working with some members of the community on a new framework for building taps and targets: https://gitlab.com/meltano/meltano/-/issues/2401, which we have decided to call the Singer SDK: https://gitlab.com/meltano/singer-sdk
What are some alternatives?
pipelinewise - Data Pipeline Framework using the singer.io spec
airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
Logstash - Logstash - transport and process your logs, events, or other data
dagster - An orchestration platform for the development, production, and observation of data assets.
nifi - Apache NiFi
jet-train
OpenRailwayMap - An OpenStreetMap-based project for creating a map of the world's railway infrastructure.
Prefect - The easiest way to build, run, and monitor data pipelines at scale.
grouparoo - 🦘 The Grouparoo Monorepo - open source customer data sync framework
pipelinewise-tap-mssql - Pipelinewise tap for Microsoft SQL Server