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biocentral_api

2.0.0biocentral/biocentral_api ↗New releases in your daily digest, changelog included.

biocentral_server OpenAPI API client

Release timeline

6 releases since 2025

20252026

One column per month.

2.0.01 Oct 2026
Implements clustering task APIs for both Dart and Python.
v2.0.0

Implements clustering task APIs for both Dart and Python.

Updates dependencies to use the latest biotrainer-core from PyPI.

Refactors Python code to leverage biotrainer-core's unified sequence input handling.

Adds support for generating ProjectionResult and introduces the project method in the BiocentralAPI.

Adapts code to various server-side API updates, including validation for embedder_name.

Refactors Python test cases and APIs to align with biotrainer-core.

Enhances error handling for unprocessable entity responses.

Updates and fixes imports, examples, and configurations to reflect API changes.
Open source →
1.2.113 Jul 2026
Adding improved proxy configuration for python client
Adding improved proxy configuration for python client
Open source →

1.1.218 Mar 2026

Added merge functionality to EmbeddingsResult for simpler merging of batched results.

Key Changes:

Python:
- Added merge functionality to EmbeddingsResult for simpler merging of batched results.
- Enabled FASTA file input support for the embed endpoint.
- Refactored batching functionality and updated examples (amylase and exotox_reproduction).
- Refactored embed endpoint to enforce sequence limits.
- Updated tests to cover more models, excluding VespaG due to model size constraints.
- Adapted API following removal of plm_eval module.
Dart:
- Added a new research and service stats API.
- Improved support for research and service stats API, including updates for biotrainer features.
- Refactored API to align with updates related to plm_eval module removal.

Bug Fixes:

Adjusted Python API tests to align with data models and metrics.
Resolved issues with al_simulation API test and local_only_default handling in tests.

1.1.022 Jan 2026

Added missing serializers for the prediction task in the Dart API.

Fixes:
- Added missing serializers for the prediction task in the Dart API.
- Adapted to the refactored biocentral_service API name.
- Preferred local URLs over remote URLs in the Python client.
Features:
- Added warnings about sequence lengths if they exceed the recommended limit.
- Introduced versioning checks to the Python API for remote and local servers.
- Added a retry mechanism for handling rate-limiting scenarios.
- Added an active learning simulation API.
- Added automatic git add to the generation script after client generation.
- Implemented pruning of outdated code files after generation.
- Added basic test of python API
Refactors:
- Improved the Dart and Python APIs to align with the new protocol enums.
- Removed unnecessary protocol endpoints in both Dart and Python APIs.
- Made updates to the SequenceTrainingData and simulation result models, improving model tracking and embedding progress.
- Transitioned to a common embedder naming system with the CommonEmbedder enum.
- Updated the usage of the active learning module and changed from bay_opt to the updated module.
- Enhanced the handling of iteration results using iteration numbers for better tracking.

1.0.014 Nov 2025

Contains API packages for python and dart .

Contains API packages for python and dart.

Embedding: Embed protein sequences into a vector space using a protein language model.
Predict: Predict protein properties using pre-defined prediction models.
Train: Train your own custom prediction models (using biotrainer)
Inference: Run inference on new data using your own custom prediction models.