Ecosystem

Use the same tools you already know and love! Seamlessly work with a range of data sources, and use the languages and environment you prefer.
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01

Data Sources

Connect Vectice to your preferred cloud provider or upload your local files directly into Vectice.
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AWS S3
Leverage AWS S3 with Vectice
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Google Cloud Storage
Google Cloud Storage
Leverage Google Cloud Storage with Vectice
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Local Files
Leverage your local files with Vectice
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AWS Redshift
Leverage Redshift with Vectice
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Google Big Query
Leverage GBQ with Vectice
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Snowflake
Leverage Snowflake with Vectice
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02

Languages & Frameworks

Everything can be done through the API from your favorite notebook or IDE - no need to come to Vectice App.
Python icon
Python
Leverage Python to push your artifacts to Vectice
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R
Leverage R to push your artifacts to Vectice
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Notebooks
Use your favorite notebook to push your work to Vectice
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IDEs
Use your favorite IDE to push your work to Vectice
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Google Collab
Use your favorite notebook to push your work to Vectice
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Jupyter Notebook
Use Jupyter to push your work to Vectice
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03

Tools

Use the tools your prefer, whether your project context exists in Git or Confluence you can easily integrate this within your projects in Vectice. See the below tools we support.
Git
Git
Leverage Git with Vectice
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Jira
Leverage Jira with Vectice
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Confluence
Leverage Confluence with Vectice
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Google Drive
Leverage G-Drive with Vectice
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04

Data Science Software

Working on several platforms? no problem! Easily auto-capture all your assets’ metadata in Vectice.
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Azure ML
Leverage Azure ML with Vectice
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Comet ML
Leverage Comet ML with Vectice
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Databricks
Leverage Databricks with Vectice
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Dataiku
Leverage Dataiku with Vectice
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DataRobot
Leverage DataRobot with Vectice
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H2O.ai
Leverage H2O.ai with Vectice
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MLflow
Leverage MLflow with Vectice
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SageMaker
Leverage SageMaker with Vectice
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Weights & Biases
Leverage WandB with Vectice
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Vertex AI
Leverage Vertex AI with Vectice
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News

Vectice Introduces Auto-Documentation Solution for ML Projects & Their Governance

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