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PyPI · #1288 most downloaded on PyPI
Python API for vespa.ai
Last release 3 days ago
14 Sep 2026
Release timing varies
gaps range from 8 days to 3 months
Nearly every release is documented
notes for 60 of the last 60 stable releases
3 versions withdrawn
withdrawn after publishing
6 years old
98 releases · first in 2020
One column per quarter.
Enable Docker deployment without disk_folder specification through a zip file.
disk_folder specification through a zip file. (https://github.com/vespa-engine/pyvespa/pull/313, https://github.com/vespa-engine/pyvespa/pull/315)Use latest transformer library and pipeline class.
transformer library and pipeline class. (https://github.com/vespa-engine/pyvespa/pull/254)container_image when creating a VespaDocker instance.app.query_batch: Add method to send queries in batch
app.query_batch: Add method to send queries in batch (https://github.com/vespa-engine/pyvespa/pull/244)Nothing published for this version
Infer schema name whenever possible for batch document operations
Removes vespa.package module dependency on the vespa.ml module. The main goal is to avoid installing vespa.ml specific dependencies through pip instal
Removes vespa.package module dependency on the vespa.ml module. The main goal is to avoid installing vespa.ml specific dependencies through pip install pyvespa[ml] unless the user explicitly wants to use vespa.ml classes.
Use tasks instead of models as argument name for ModelServer to align with the fact this argument takes instances of type TextTask.
tasks instead of models as argument name for ModelServer to align with the fact this argument takes instances of type TextTask.model_id instead of model_name to identify a model since model_id is what we use when defining a Task.Introduce stateless model evaluation with SequenceClassification task.
Introduce stateless model evaluation with SequenceClassification task.
ApplicationPackage to allow for simpler configurations, e.g. no schema.ModelServer, which is a simplified ApplicationPackage focused on stateless model evaluation.ApplicationPackage is now included on the Vespa instance when deploying apps with pyvespa.
app.predict.Vespa now has get_model_endpoint and predict to use for stateless model evaluation mode.VespaDocker and VespaCloud now work with ModelServer deployment to deploy stateless model evaluation apps.SequenceClassification task that inherits from the base class TextTask.VespaDocker and VespaCloud are now only available via the vespa.deployment module.
VespaDocker and VespaCloud are now only available via the vespa.deployment module.
v 0.8.1 still works with vespa.package.VespaDocker and vespa.package.VespaCloud but it will issue a deprecation warning informing users to use vespa.d…
VespaDocker and VespaCloud will move to the deployment module
vespa.package.VespaDocker and vespa.package.VespaCloud but it will issue a deprecation warning informing users to use vespa.deployment.VespaDocker and vespa.deployment.VespaCloud instead.vespa.package.VespaDocker and vespa.package.VespaCloud and users must use vespa.deployment.VespaDocker and vespa.deployment.VespaCloudNothing published for this version
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