DVID
The facts below are what the maker publishes about DVID, checked and dated. Our editors have not written about it yet.
The facts
Each one read from DVID's own pages, with the date it was checked.
What it does
- API
- DVID provides a science-driven REST HTTP API and command-line access.checked 9 Oct 2026
- Clients
- Documented DVID clients include the neuclease Python library, intern, natverse, libdvid-cpp, Google neuroglancer, neuTu, and Clio.checked 9 Oct 2026
- Dataset size
- The Hemibrain release page says its reduced databases total 1.2 TB and lets users choose which databases to download, with metadata required.checked 8 Oct 2026
- Data types
- Its supported data includes multiscale image and label volumes, sparse volumes, point annotations, label graphs, regions of interest, and key-value data.checked 9 Oct 2026
- Deployment
- DVID is a server that users install and configure with a file describing ports, storage engines, and data locations.checked 8 Oct 2026
- Extensibility
- Users can add custom data types with specialized HTTP APIs.checked 9 Oct 2026
- Hemibrain access
- The Hemibrain guide says users can request access to the updated V1.2 DVID dataset by contacting the team.checked 9 Oct 2026
- Hemibrain requirements
- Running the Hemibrain reconstruction server requires downloading databases to local disks; the reduced release contains three versions totaling 1.2 TB.checked 9 Oct 2026
- Integrations
- The About page says DVID can proxy to connectomics services including Google BrainMaps and OpenConnectome.checked 9 Oct 2026
- Monitoring
- DVID can send mutation and activity logs to Kafka, which Janelia processes in Kibana for performance analysis.checked 9 Oct 2026
- Notable limit
- DVID currently does not provide domain-specific diff tools for comparing data between versions.checked 8 Oct 2026
- Notable limitation
- The repository documentation says DVID does not provide domain-specific tools to compare data between versions.checked 9 Oct 2026
- Purpose
- DVID is a distributed, versioned image-oriented data service built to support Janelia brain imaging, analysis, and visualization.checked 9 Oct 2026
- Requirements
- The current developer build requires Go 1.25 or newer, CGO, a C compiler, and Python 3 or a configured Python path.checked 8 Oct 2026
- Science API
- It provides a stable, domain-specific HTTP API for connectomics data and operations.checked 8 Oct 2026
- Storage
- DVID can use different key-value storage systems, from local embedded stores to Google Cloud Storage.checked 9 Oct 2026
- Support and security
- The opened maker pages describe configuration and documentation but do not state a support plan or security/compliance certification.checked 8 Oct 2026
- Versioning
- It supports branched versioning and access to data across versions.checked 9 Oct 2026
Where it runs
- Platforms
- The About page says DVID has been tested on macOS, Linux, and Windows 10+ Bash Shell.checked 9 Oct 2026
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