On the recordRead 9 Oct 202619 facts
DVID
On the record
- API
- DVID provides a science-driven REST HTTP API and command-line access.dvid.io · read 9 Oct 2026
- Clients
- Documented DVID clients include the neuclease Python library, intern, natverse, libdvid-cpp, Google neuroglancer, neuTu, and Clio.github.com · read 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.dvid.io · read 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.dvid.io · read 9 Oct 2026
- Deployment
- DVID is a server that users install and configure with a file describing ports, storage engines, and data locations.github.com · read 8 Oct 2026
- Extensibility
- Users can add custom data types with specialized HTTP APIs.dvid.io · read 9 Oct 2026
- Hemibrain access
- The Hemibrain guide says users can request access to the updated V1.2 DVID dataset by contacting the team.dvid.io · read 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.dvid.io · read 9 Oct 2026
- Integrations
- The About page says DVID can proxy to connectomics services including Google BrainMaps and OpenConnectome.dvid.io · read 9 Oct 2026
- Monitoring
- DVID can send mutation and activity logs to Kafka, which Janelia processes in Kibana for performance analysis.dvid.io · read 9 Oct 2026
- Notable limit
- DVID currently does not provide domain-specific diff tools for comparing data between versions.github.com · read 8 Oct 2026
- Notable limitation
- The repository documentation says DVID does not provide domain-specific tools to compare data between versions.github.com · read 9 Oct 2026
- Purpose
- DVID is a distributed, versioned image-oriented data service built to support Janelia brain imaging, analysis, and visualization.dvid.io · read 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.github.com · read 8 Oct 2026
- Science API
- It provides a stable, domain-specific HTTP API for connectomics data and operations.dvid.io · read 8 Oct 2026
- Storage
- DVID can use different key-value storage systems, from local embedded stores to Google Cloud Storage.dvid.io · read 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.dvid.io · read 8 Oct 2026
- Versioning
- It supports branched versioning and access to data across versions.dvid.io · read 9 Oct 2026
