by DataKitchen · 未分类 · ★ 31
DataOps Observability Integration Agents DataOps Observability Integration Agents are part of DataKitchen's Open Source Data Observability. They connect to various ETL, ELT, BI, data science, data visualization, data governance, and data analytic tools. They provide logs, messages, metrics, overall run-time start/stop, subtask status, and scheduling information to DataOps Observability. Current List of Integration Agents Setup Before you begin you will need to clone the repository.
| Stars | 31 |
| Forks | 1 |
| Language | Python |
| Category | 未分类 |
| License | Apache-2.0 |
| Quality Score | 42.75/100 |
| Open Issues | 3 |
| Last Updated | 2026-03-18 |
| Created | 2024-04-16 |
| Platforms | python |
| Est. Tokens | ~15k |
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dataops-observability-agents is DataOps Observability Integration Agents are part of DataKitchen's Open Source Data Observability. They connect to various ETL, ELT, BI, data science, data visualization, data governance, and data ana. It is categorized as a 未分类 with 31 GitHub stars.
dataops-observability-agents is primarily written in Python. It covers topics such as data-engineering, data-observability, integrations.
You can find installation instructions and usage details in the dataops-observability-agents GitHub repository at github.com/DataKitchen/dataops-observability-agents. The project has 31 stars and 1 forks, indicating an active community.
dataops-observability-agents is released under the Apache-2.0 license, making it free to use and modify according to the license terms.