VFB_connect 
VFB_connect is a Python lib that wraps data/knowledgeBase query endpoints and returns DataFrame tables.
Available on PyPi:
pip install vfb_connect
Some examples:
# VFB connect object wraps connections and queries to public VFB servers.
from vfb_connect import vfb
# Get TermInfo for Types/Classes, DataSets and anatomical individuals.
vfb.term('FBbt_00003686')
vfb.terms(['Ito02013'])
vfb.terms(['VFB_00010001'])
# Get all terms relevant to a brain region (all parts and all overlapping cells. You can query by label, symbol, synonym, id or xref.
vfb.get_terms_by_region('fan-shaped body')
TermInfo returns a pandas DataFrame by default but can also return a dict summary or full VFBTerms.
For more examples see our Quick Guide Jupyter Notebook
Cached query results
Several queries — similar morphology, the neurons and neuron types in a region, parts, subtypes, lineage clones and innervating tracts — are answered from VFBquery's pre-computed results at https://v3-cached.virtualflybrain.org, the same source the Virtual Fly Brain website reads. Results and column names are unchanged; the query is simply not re-derived. If the service is unavailable, slow or returns an incomplete result, the original Neo4j/Owlery query runs instead, so nothing depends on it being up.
Results larger than one response (25,000 rows) are paged, with a progress bar — a whole
neuropil can be hundreds of thousands of rows. vfb._load_limit truncates them, and any
truncation is reported rather than silent.
vfb.query_counts(id) returns how many results every query on a term would give, in
one request and without running any of them:
vfb.query_counts('FBbt_00003748')
# {'NeuronsSynaptic': 464, 'PartsOf': 28, 'ImagesNeurons': 226524, ...}
A count of -1 there means VFBquery could not count that query — not that it is empty.
Environment variables:
VFB_USE_CACHED_QUERIES=false— always run queries directly.VFB_CACHED_QUERY_URL— point at a different VFBquery deployment.VFB_CACHED_QUERY_MAX_ROWS— row ceiling before a result is truncated (default 250,000).
Methods that use it also take use_cached=True|False to override per call.
Metadata
Release files for vfb-connect 2.4.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| vfb_connect-2.4.7.tar.gz | 49.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vfb_connect-2.4.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 58.9 MB
Release files / vfb_connect-2.4.7.tar.gz
| Download URL | vfb_connect-2.4.7.tar.gz |
|---|---|
| Size | 49.5 MB |
| Tags | Source |
|
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| Size | 9.4 MB |
| Tags | Python 3 |
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| Uploaded via |
twine/7.0.0 CPython/3.13.14
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