exonware-xwnode 0.9.0.21

Node-based data processing and graph computation library

xwnode

Graph-shaped data with one API: many node and edge strategies, lots of query languages behind the same surface, and AUTO when you want the implementation chosen for you.

Longer write-up: README_LONG.md.

Company: eXonware.com · Author: eXonware Backend Team · Email: [e-mail]

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Install

Install	What you get	When to use
pip install exonware-xwnode	Lite - core only	Smallest install.
pip install exonware-xwnode[lazy]	Lazy - backends pulled in when first used	Local dev.
pip install exonware-xwnode[full]	Full - common strategies pre-installed	CI or production bundles.

Requires xwsystem. Extras only add dependencies; the import path stays the same.

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Quick start

from exonware.xwnode import XWNode

node = XWNode.from_native({
    'users': [{'name': 'Alice', 'age': 30, 'city': 'NYC'}, {'name': 'Bob', 'age': 25, 'city': 'LA'}],
    'products': {'laptop': {'price': 1000}, 'phone': {'price': 500}}
})

print(node['users'][0]['name'].value)   # Alice
results = node.query("SELECT * FROM users WHERE age > 25")
node.add_edge('Alice', 'Bob', {'relationship': 'friend'})
friends = node.neighbors('Alice')

Pick a mode explicitly (NodeMode.HASH_MAP, NodeMode.LSM_TREE, EdgeMode.COMPRESSED_GRAPH, EdgeMode.HNSW, …) or use NodeMode.AUTO. See REF_14_DX and REF_15_API.

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What you get

Area	Contents
Node strategies	Hash maps, ordered structures, LSM-style trees, tries, learned indexes, and more behind one API.
Edge strategies	Adjacency, compressed graphs, HNSW, R-tree, quadtree, temporal layouts, …
Query	Many languages (SQL, GraphQL, Cypher, XPath, …) via xwquery.
Operations	WAL, Bloom filters, lock-free options, automatic strategy selection where enabled.

Status and roadmap: REF_22_PROJECT. Full strategy lists: REF_15_API, docs/.

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Strategy Matrix - Possibilities

94 IMPLEMENTATIONS

63 NODE STRATEGIES x 31 EDGE STRATEGIES = 1,953 MIX-AND-MATCH COMBINATIONS

Choose any node strategy and pair it with any edge strategy under the same XWNode API surface.

Scientific compatibility note: Not every node-edge combination is semantically valid for every workload. Use strategy pairs that match the data model and query physics. Example: matrix/sparse-matrix representations and tree-centric representations solve different structural problems, so they should not be treated as equivalent.

Node strategy implementations (63)

Implementation	File
AdjacencyListStrategy	adjacency_list.py
AhoCorasickStrategy	aho_corasick.py
ArrayListStrategy	array_list.py
ARTStrategy	art.py
ASTStrategy	ast.py
AVLTreeStrategy	avl_tree.py
BPlusTreeStrategy	b_plus_tree.py
BTreeStrategy	b_tree.py
BitmapStrategy	bitmap.py
BitsetDynamicStrategy	bitset_dynamic.py
BloomFilterStrategy	bloom_filter.py
BloomierFilterStrategy	bloomier_filter.py
BwTreeStrategy	bw_tree.py
CircularBufferStrategy	circular_buffer.py
CountMinSketchStrategy	count_min_sketch.py
COWTreeStrategy	cow_tree.py
CRDTMapStrategy	crdt_map.py
CuckooHashStrategy	cuckoo_hash.py
DataInterchangeOptimizedStrategy	data_interchange_optimized.py
DawgStrategy	dawg.py
DequeStrategy	deque.py
ExtendibleHashStrategy	extendible_hash.py
FenwickTreeStrategy	fenwick_tree.py
HAMTStrategy	hamt.py
HashMapStrategy	hash_map.py
HeapStrategy	heap.py
HistogramStrategy	histogram.py
HopscotchHashStrategy	hopscotch_hash.py
HyperLogLogStrategy	hyperloglog.py
IntervalTreeStrategy	interval_tree.py
KdTreeStrategy	kd_tree.py
LearnedIndexStrategy	learned_index.py
LinearHashStrategy	linear_hash.py
LinkedListStrategy	linked_list.py
LRUCacheStrategy	lru_cache.py
LSMTreeStrategy	lsm_tree.py
MasstreeStrategy	masstree.py
OrderedMapStrategy	ordered_map.py
OrderedMapBalancedStrategy	ordered_map_balanced.py
PatriciaStrategy	patricia.py
PersistentTreeStrategy	persistent_tree.py
PriorityQueueStrategy	priority_queue.py
QueueStrategy	queue.py
RadixTrieStrategy	radix_trie.py
RangeMapStrategy	range_map.py
RedBlackTreeStrategy	red_black_tree.py
RoaringBitmapStrategy	roaring_bitmap.py
RopeStrategy	rope.py
SegmentTreeStrategy	segment_tree.py
SetHashStrategy	set_hash.py
SetTreeStrategy	set_tree.py
SkipListStrategy	skip_list.py
SparseMatrixStrategy	sparse_matrix.py
SplayTreeStrategy	splay_tree.py
StackStrategy	stack.py
SuffixArrayStrategy	suffix_array.py
TDigestStrategy	t_digest.py
TTreeStrategy	t_tree.py
TreapStrategy	treap.py
TreeGraphHybridStrategy	tree_graph_hybrid.py
TrieStrategy	trie.py
UnionFindStrategy	union_find.py
VebTreeStrategy	veb_tree.py

Edge strategy implementations (31)

Implementation	File
AdjListStrategy	adj_list.py
AdjMatrixStrategy	adj_matrix.py
BidirWrapperStrategy	bidir_wrapper.py
BitemporalStrategy	bitemporal.py
BlockAdjMatrixStrategy	block_adj_matrix.py
BVGraphStrategy	bv_graph.py
CompressedGraphStrategy	compressed_graph.py
COOStrategy	coo.py
CSCStrategy	csc.py
CSRStrategy	csr.py
DynamicAdjListStrategy	dynamic_adj_list.py
EdgeListStrategy	edge_list.py
EdgePropertyStoreStrategy	edge_property_store.py
EulerTourStrategy	euler_tour.py
FlowNetworkStrategy	flow_network.py
GraphBLASStrategy	graphblas.py
HNSWStrategy	hnsw.py
Hop2LabelsStrategy	hop2_labels.py
HyperEdgeSetStrategy	hyperedge_set.py
IncidenceMatrixStrategy	incidence_matrix.py
K2TreeStrategy	k2_tree.py
LinkCutStrategy	link_cut.py
MultiplexStrategy	multiplex.py
NeuralGraphStrategy	neural_graph.py
OctreeStrategy	octree.py
QuadTreeStrategy	quadtree.py
RoaringAdjStrategy	roaring_adj.py
RTreeStrategy	rtree.py
TemporalEdgeSetStrategy	temporal_edgeset.py
TreeGraphBasicStrategy	tree_graph_basic.py
WeightedGraphStrategy	weighted_graph.py

Source of truth: strategy classes discovered in src/exonware/xwnode/nodes/strategies/ and src/exonware/xwnode/edges/strategies/.

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Ecosystem functional contributions

xwnode owns structural representation; sibling libs add query, data transport, validation, and persistence capabilities around that structure. You can use xwnode standalone as a graph/tree/strategy data engine. The full XW ecosystem is optional and is mainly for enterprise and mission-critical scenarios where structure, query, validation, and storage need unified self-managed infrastructure.

Supporting XW lib	What it provides to xwnode	Functional requirement it satisfies
XWQuery	Multi-language query execution over node/edge structures.	Rich graph/tree querying without binding to a single query syntax.
XWData	Data load/save/transform bridges to and from node structures.	Interchange between external formats and in-memory graph models.
XWSystem	Core runtime foundations (serialization, caching, utilities, base contracts).	Performance and consistency for node strategies and runtime behavior.
XWSchema	Optional schema constraints for node payload integrity.	Validation guarantees for graph payloads and structured updates.
XWStorage	Durable backend persistence for node-driven datasets.	Persistent graph/state storage beyond process memory.
XWEntity	Domain entity alignment for graph-backed business models.	Domain-aware graph operations rather than raw structural manipulation only.

Competitive edge: xwnode is not only a graph container; it is a strategy-rich structure engine that plugs directly into query, validation, and storage layers.

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Docs and tests

• Start: docs/INDEX.md.
• Usage: docs/GUIDE_01_USAGE.md.
• REFs: REF_01_REQ, REF_22_PROJECT, REF_13_ARCH, REF_14_DX, REF_15_API, REF_51_TEST.
• Tests: docs/REF_51_TEST.md. Run: python tests/runner.py from repo root.

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License and links

MIT - see LICENSE.

• Homepage: https://exonware.com
• Repository: https://github.com/exonware/xwnode

Async Support

• xwnode includes asynchronous execution paths in production code.
• Source validation: 522 async def definitions and 0 await usages under src/.
• Use async APIs for I/O-heavy or concurrent workloads to improve throughput and responsiveness.

Version: 0.9.0.21 | Updated: 04-Apr-2026

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