togo · PyPI

Python bindings for TG (Geometry library for C - Fast point-in-polygon)

ToGo is a high-performance Python library for computational geometry, providing a Cython wrapper around the above-mentioned C library.

Note on pronunciation: "ToGo" is pronounced like the country Togo ("TOH-go"), not like "to go".

The main goal is to offer a Pythonic, object-oriented, fast and memory-efficient library for geometric operations, including spatial predicates, format conversions, and spatial indexing. ToGo's API is flexible and allows you to reason in either TG concepts (if you're familiar with the TG library) or Shapely conventions (the de facto standard for geospatial work in Python)—whichever fits your workflow best.

See SHAPELY_API.md for more details on Shapely compatibility. See the "Error Behavior vs Shapely" section in SHAPELY_API.md for overlay and predicate compatibility notes.

Installation

pip install togo

Features

Fast and efficient geometric operations
Support for standard geometry types: Point, Line, Ring, Polygon, and their multi-variants
Flexible API supporting both TG and Shapely conventions
Geometric predicates: contains, intersects, covers, touches, etc. — accept any wrapper type directly (no manual .as_geometry() conversion needed)
Format conversion between WKT, GeoJSON, WKB, and HEX
Spatial indexing for accelerated queries
Memory-efficient C implementation with Python-friendly interface
Advanced operations via libgeos integration (buffer, unary union, union/difference, simplify, centroid, convex_hull, etc.)
Distance and proximity operations (nearest_points, shortest_line, project)
MultiPoint, MultiLineString, MultiPolygon, and GeometryCollection are real Python classes — isinstance() checks work correctly
BaseGeometry is available for Shapely-style base-type checks across concrete ToGo geometry classes
Geometry equality via == operator consistent with Shapely semantics
Overlay/unary union operations accept 3D input and normalize topology to 2D
Polygon.exterior returns LinearRing (also LineString-compatible) and preserves LinearRing GeoInterface semantics
Geometry truthiness is safe (bool(geom) follows emptiness semantics)

Basic Usage

ToGo's API supports multiple styles of interaction. You can use Shapely-like conventions for familiarity, TG-like conventions if you're already familiar with that library, or mix both as needed.

Creating Geometries

from togo import Point, LineString, Polygon, Ring, Poly, Geometry

# Shapely-like syntax
point = Point(1.0, 2.0)
line = LineString([(0, 0), (1, 1), (2, 2)])
poly = Polygon([(0, 0), (4, 0), (4, 4), (0, 4), (0, 0)])

# TG-like syntax with Ring and Poly
ring = Ring([(0,0), (10,0), (10,10), (0,10), (0,0)])
polygon = Poly(ring)

# Direct Geometry creation from formats
geom = Geometry("POINT(1 2)", fmt='wkt')
geom2 = Geometry('{"type":"Point","coordinates":[1,2]}', fmt='geojson')

Working with Geometries

from togo import Point, Polygon

# Access properties (works with both API styles)
point = Point(1.0, 2.0)
print(point.geom_type)     # 'Point'
print(point.bounds)        # (1.0, 2.0, 1.0, 2.0)
print(point.coords[0])     # (1.0, 2.0)  — indexable coordinate sequence

poly = Polygon([(0, 0), (4, 0), (4, 4), (0, 4), (0, 0)])
print(poly.area)           # 16.0
print(poly.length)         # 16.0

# Convert between formats
print(point.to_wkt())      # 'POINT (1 2)'
print(point.to_geojson())  # '{"type":"Point","coordinates":[1.0,2.0]}'

# Spatial predicates — wrapper objects are accepted directly, no .as_geometry() needed
if poly.contains(point):
    print("Polygon contains point!")

if poly.intersects(Polygon([(3, 3), (5, 3), (5, 5), (3, 5), (3, 3)])):
    print("Polygons intersect!")

# Polygon.boundary — LineString (no holes) or MultiLineString (with holes)
boundary = poly.boundary
print(boundary.length)     # perimeter of polygon

# Polygon.from_bounds — create a rectangle from a bounding box
bbox = Polygon.from_bounds(0, 0, 10, 5)
print(bbox.area)           # 50.0

# Centroid (Shapely-compatible)
centroid = poly.centroid  # Returns a concrete Point for non-empty geometries
print(centroid.to_wkt())  # e.g., 'POINT (2 2)'
print(centroid.x, centroid.y)  # 2.0 2.0

# Line boundaries expose point-like endpoints via .geoms
line = LineString([(1, 2), (5, 2), (8, 9)])
endpoints = line.boundary.geoms
print(endpoints[0].x, endpoints[0].y)  # 1.0 2.0

# For mixed-result flows, single-part Geometry values also expose a singleton .geoms tuple
single = line.intersection(Polygon([(0, -1), (3, -1), (3, 1), (0, 1), (0, -1)]))
print(len(single.geoms))  # 1

# Convex hull (Shapely-compatible)
from togo import convex_hull
concave_poly = Polygon([(0, 0), (2, 0), (2, 2), (1, 1), (0, 2), (0, 0)])
hull = convex_hull(concave_poly)
print(hull.to_wkt())  # 'POLYGON((0 0,2 0,2 2,0 2,0 0))'

# Binary union (Shapely-compatible)
other = Polygon([(3, 3), (5, 3), (5, 5), (3, 5), (3, 3)])
merged = poly.union(other)
print(merged.geom_type)

# Shapely-style constructors/helpers
from togo import shape, box
g1 = shape({"type": "Point", "coordinates": [1, 2]})
g2 = box(0, 0, 2, 1)
print(g1.geom_type, g2.geom_type)
print(type(g1).__name__, type(g2).__name__)  # Point Polygon

You can also call module-level helpers with from togo import union, difference and then union(poly, other) or difference(poly, other).

For compatibility with Shapely-style base checks, BaseGeometry supports isinstance(...) across concrete public geometry classes:

from togo import BaseGeometry, Geometry, MultiPolygon, unary_union, from_wkt

u = unary_union([
    from_wkt("POLYGON Z ((0 0 1,1 0 1,1 1 1,0 1 1,0 0 1))"),
    from_wkt("POLYGON Z ((2 0 5,3 0 5,3 1 5,2 1 5,2 0 5))"),
])

print(isinstance(u, BaseGeometry))  # True
print(u.geom_type)                  # 'MultiPolygon'
print(u.has_z)                      # False (topology normalized to 2D)

# Geometry truthiness follows emptiness semantics
print(bool(u))                      # True
print(bool(Geometry("GEOMETRYCOLLECTION EMPTY", fmt="wkt")))  # False

Core Classes

Geometry

The base class that wraps tg_geom structures and provides core operations:

Create geometries directly from WKT, GeoJSON, HEX, and other supported serialized formats.
Use common predicates such as intersects(), contains(), and within() directly on Geometry instances.
Convert geometries back to WKT/GeoJSON/WKB using to_wkt(), to_geojson(), and to_wkb().
Index collection-like geometries such as MultiPoint, GeometryCollection, MultiLineString, and MultiPolygon using geom[idx].
Access collection members as an immutable tuple via .geoms on multi-geometries and geometry collections.
High-risk accessor, predicate, and overlay paths now fail with managed exceptions when used on uninitialized base Geometry() objects.

Point

from togo import Point

# Create a point
p = Point(1.0, 2.0)

# Access coordinates
print(f"X: {p.x}, Y: {p.y}")

# Get as a tuple
print(p.as_tuple())

# Convert to a Geometry object
geom = p.as_geometry()
print(geom.type_string())

Segment

from togo import Segment, Point

# Create a segment from two points (or tuples)
seg = Segment(Point(0, 0), Point(1, 1))
# Or using tuples
tuple_seg = Segment((0, 0), (1, 1))

# Access endpoints
print(seg.a)  # Point(0, 0)
print(seg.b)  # Point(1, 1)

# Get the bounding rectangle
rect = seg.rect()
print(rect)  # ((0.0, 0.0), (1.0, 1.0))

# Check intersection with another segment
other = Segment((1, 1), (2, 2))
print(seg.intersects(other))  # True or False

Line

from togo import Line

# Create a line from a list of tuples
line = Line([(0,0), (1,1), (2,0)])

# Get number of points
print(f"Number of points: {line.num_points}")

# Get all points as a list of tuples
print(f"Points: {line.points()}")

# Get the length of the line
print(f"Length: {line.length}")

# Get the bounding box
print(f"Bounding box: {line.rect()}")

# Get a point by index
print(f"First point: {line[0].as_tuple()}")

Ring

from togo import Ring

# Create a ring (must be closed)
ring = Ring([(0,0), (10,0), (10,10), (0,10), (0,0)])

# Get area and perimeter
print(f"Area: {ring.area}")
print(f"Perimeter: {ring.length}")

# Check if it's convex or clockwise
print(f"Is convex: {ring.is_convex()}")
print(f"Is clockwise: {ring.is_clockwise()}")

# Get bounding box
min_pt, max_pt = ring.rect().min, ring.rect().max
print(f"Bounding box: {min_pt.as_tuple()}, {max_pt.as_tuple()}")

# Shapely-compatible predicate — no .as_geometry() needed
from togo import Point
print(ring.intersects(Point(5, 5)))   # True
print(ring.intersects(Point(20, 20))) # False

# Shapely-compatible boundary property
boundary = ring.boundary  # Line (no holes) or MultiLineString (with holes)

Poly

from togo import Poly, Ring, Point

# Create a polygon with one exterior ring and one interior hole
exterior = Ring([(0,0), (10,0), (10,10), (0,10), (0,0)])
hole1 = Ring([(1,1), (2,1), (2,2), (1,2), (1,1)])
poly = Poly(exterior, holes=[hole1])

# Get the exterior ring
ext_ring = poly.exterior
print(f"Exterior has {ext_ring.num_points} points")

# Get number of holes
print(f"Number of holes: {poly.num_holes()}")

# Get a hole by index
h = poly.hole(0)
print(f"Hole area: {h.area()}")

# A polygon is a geometry, so you can use geometry methods
geom = poly.as_geometry()
print(f"Contains point (5,5): {geom.contains(Point(5,5).as_geometry())}")
# Point is inside the hole, so it is not contained by the polygon
print(f"Contains point (1.5,1.5): {geom.contains(Point(1.5,1.5).as_geometry())}")

MultiGeometries

All multi-geometries are real Python classes, so isinstance() checks work correctly:

from togo import MultiPoint, MultiLineString, MultiPolygon, Poly, Ring, Geometry

# MultiPolygon — real class, supports isinstance
poly1 = Poly(Ring([(0,0), (1,0), (1,1), (0,1), (0,0)]))
poly2 = Poly(Ring([(2,2), (3,2), (3,3), (2,3), (2,2)]))
multi_poly = MultiPolygon([poly1, poly2])
print(isinstance(multi_poly, MultiPolygon))  # True
print(isinstance(multi_poly, Geometry))      # True

# MultiLineString — real class, supports isinstance
multi_line = MultiLineString([[(0,0), (1,1)], [(2,2), (3,3)]])
print(isinstance(multi_line, MultiLineString))  # True

# MultiPoint — real class, supports isinstance
multi_point = MultiPoint([(0,0), (1,1), (2,2)])
print(isinstance(multi_point, MultiPoint))  # True

# GeometryCollection — real class, supports isinstance
from togo import GeometryCollection
collection = GeometryCollection([multi_point, multi_line])
print(isinstance(collection, GeometryCollection))  # True

# Child members
print(len(collection.geoms))

# Collection protocol
print(len(collection))  # same count as len(collection.geoms)
print(len(multi_poly))  # Multi* geometries implement len()

# Low-level factory methods still available on Geometry
multi_poly2 = Geometry.from_multipolygon([poly1, poly2])

LineString.project()

project() returns the distance along a line to the nearest projected point — equivalent to Shapely's project(). Use normalized=True to get a fraction of total line length:

from togo import LineString, Point

line = LineString([(0, 0), (10, 0)])

# Distance to the start: 0.0
print(line.project(Point(0, 0).as_geometry()))   # 0.0

# Distance to the midpoint: 5.0
print(line.project(Point(5, 0).as_geometry()))   # 5.0

# Point above the midpoint still projects to 5.0
print(line.project(Point(5, 3).as_geometry()))   # 5.0

# Normalized distance in [0.0, 1.0]
print(line.project(Point(5, 0).as_geometry(), normalized=True))   # 0.5
print(line.project(Point(10, 0).as_geometry(), normalized=True))  # 1.0

# Geometry values that are line-like also support project()
line_geom = line.as_geometry()
print(line_geom.project(Point(5, 3)))                    # 5.0
print(line_geom.project(Point(5, 3), normalized=True))   # 0.5

Polygon Indexing

Togo supports different polygon indexing strategies for optimized spatial operations:

from togo import TGIndex, set_polygon_indexing_mode

# Set the indexing mode
set_polygon_indexing_mode(TGIndex.NATURAL)  # or NONE, YSTRIPES

Integration with tgx and libgeos

Togo integrates with the tgx extension and libgeos to provide advanced geometry operations, such as topological unions and conversions between TG and GEOS geometry formats. This allows you to leverage the speed of TG for basic operations and the flexibility of GEOS for more complex tasks.

Example: Unary Union (GEOS integration)

unary_union is a module-level function (Shapely-compatible) that merges multiple geometries into one using GEOS topological union. It accepts any wrapper type directly — no .as_geometry() conversion required:

from togo import Polygon, unary_union

# Create several polygons using the Shapely-compatible constructor
poly1 = Polygon([(0,0), (2,0), (2,2), (0,2), (0,0)])
poly2 = Polygon([(1,1), (3,1), (3,3), (1,3), (1,1)])

# Module-level unary_union — accepts Polygon wrapper objects directly
union = unary_union([poly1, poly2])

# The result is a single geometry representing the union
print(union.geom_type)   # 'Polygon'
print(union.to_wkt())

# Works with mixed types (Poly, Polygon, Geometry, etc.)
from togo import Poly, Ring, Geometry
poly3 = Poly(Ring([(5,0), (7,0), (7,2), (5,2), (5,0)]))
union2 = unary_union([poly1, poly3])
print(union2.geom_type)  # 'MultiPolygon' (non-overlapping)

This operation uses tgx to convert TG geometries to GEOS, applies the union in libgeos, and converts the result back to TG format for further use in ToGo.

Example: Buffer Operations (GEOS integration)

The buffer() method creates geometrical buffers (expanded or shrunk versions of geometries) using GEOS:

from togo import Point, LineString, Polygon, Ring, Geometry

# Buffer a point to create a circular zone
point = Point(0, 0)
circular_zone = point.buffer(10.0, quad_segs=16)
print(f"Point buffer: {circular_zone.geom_type}")  # Polygon

# Buffer a line to create a corridor around it
line = LineString([(0, 0), (10, 10)])
corridor = line.buffer(2.0, cap_style=1)  # round ends
print(f"Line buffer: {corridor.geom_type}")  # Polygon

# Buffer a polygon to expand or shrink it
exterior = Ring([(0, 0), (10, 0), (10, 10), (0, 10), (0, 0)])
poly = Polygon(exterior)

expanded = poly.buffer(2.0)    # Expand outward by 2 units
shrunk = poly.buffer(-1.0)     # Shrink inward by 1 unit

# Via Geometry object with advanced parameters
geom = Geometry("POLYGON((0 0, 20 0, 20 20, 0 20, 0 0))")
buffered = geom.buffer(
    distance=3.0,
    quad_segs=16,           # Segments per quadrant (higher = smoother)
    cap_style=1,            # 1=round, 2=flat, 3=square
    join_style=1,           # 1=round, 2=mitre, 3=bevel
    mitre_limit=5.0         # Mitre ratio limit
)

Like unary_union, buffer operations automatically handle TG ↔ GEOS conversions. For comprehensive buffer documentation, see BUFFER_API.md.

Example: Distance and Proximity Operations (GEOS integration)

The nearest_points() and shortest_line() functions find the closest points between geometries:

from togo import Point, LineString, Polygon, Ring, nearest_points, shortest_line, from_wkt

# Find nearest points between geometries (module-level function)
point = Point(0, 0)
line = LineString([(10, 0), (10, 10)])
pt1, pt2 = nearest_points(point, line)
print(f"Nearest on point: ({pt1.x}, {pt1.y})")  # (0.0, 0.0)
print(f"Nearest on line: ({pt2.x}, {pt2.y})")   # (10.0, 0.0)

# Get the connecting line (Shapely v2 API - module-level function)
shortest = shortest_line(point, line)
print(f"Distance: {shortest.length}")  # 10.0
print(f"Connecting line: {shortest.coords}")  # [(0.0, 0.0), (10.0, 0.0)]

# Method style also works
shortest = point.shortest_line(line)
pt1, pt2 = point.nearest_points(line)

# Measure gap between polygons
poly1 = Polygon(Ring([(0, 0), (5, 0), (5, 5), (0, 5), (0, 0)]))
poly2 = Polygon(Ring([(10, 0), (15, 0), (15, 5), (10, 5), (10, 0)]))
gap_line = shortest_line(poly1, poly2)
print(f"Gap between polygons: {gap_line.length}")  # 5.0

# Practical use case: Check if features are within distance
def within_distance(geom1, geom2, max_dist):
    return shortest_line(geom1, geom2).length <= max_dist

building1 = Polygon(Ring([(0, 0), (10, 0), (10, 10), (0, 10), (0, 0)]))
building2 = Polygon(Ring([(20, 0), (30, 0), (30, 10), (20, 10), (20, 0)]))

if within_distance(building1, building2, 15):
    print("Buildings meet separation requirement")

# Works with WKT geometries
g1 = from_wkt("POINT(0 0)")
g2 = from_wkt("LINESTRING(5 5, 10 10)")
connecting = shortest_line(g1, g2)
print(f"Distance: {connecting.length:.2f}")

For more examples, see the shortest-line tests and examples/shortest_line_demo.py.

Performance Considerations

Togo is optimized for speed and memory efficiency
For large datasets, proper indexing can significantly improve performance
Creating geometries with the appropriate format avoids unnecessary conversions
Buffer operations support quad_segs parameter to balance quality vs. performance

Soon there will be a full API documentation, for now please refer to the test suite for more usage examples.

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Details for the file togo-0.7.2-cp314-cp314t-musllinux_1_2_x86_64.whl.

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Download URL: togo-0.7.2-cp314-cp314t-musllinux_1_2_x86_64.whl
Upload date: Jul 24, 2026
Size: 5.1 MB
Tags: CPython 3.14t, musllinux: musl 1.2+ x86-64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/6.1.0 CPython/3.13.14

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SHA256	`5496ea8d4345973db92498c9fbb33870a2bd56b60541e3e5980e399fdc554129`
MD5	`ee5a73c92260976f45c490a2fb6a331e`
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SHA256	`ca330d4f6258363fe81581238b158ef689c5d14ea6e6af283fd0ba0981426828`
MD5	`645fa9e04a3b2b547277c66253894dd0`
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MD5	`a5871a5b45d1b8168e1303f2c8e6626f`
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MD5	`5c1f466f96073e036beae076df92292d`
BLAKE2b-256	`fd2d795e17c1bc12cd2e4343913a7a15686c4f4abe1b89ec00bdf32bfc713eab`

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SHA256	`aee7eeb6d124bf8afdee02eb62a6ec58ddbdc3b38b1b0feb96a383f1bdcba8d9`
MD5	`7bfcf0b327ede80c02159872d4a09fcc`
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MD5	`7ae8bb42801a2aa84f02257416623cd7`
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Algorithm	Hash digest
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MD5	`da086f2ecdf3285ce2c1d895274f9a70`
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togo 0.7.2

Installation

Features

Basic Usage

Creating Geometries

Working with Geometries

Core Classes

Geometry

Point

Segment

Line

Ring

Poly

MultiGeometries

LineString.project()

Polygon Indexing

Integration with tgx and libgeos

Example: Unary Union (GEOS integration)

Example: Buffer Operations (GEOS integration)

Example: Distance and Proximity Operations (GEOS integration)

Performance Considerations

Project links

Key dates

1 maintainer

Credits

GitHub Statistics

License

Requires

Classifiers

Download files

Source Distributions

Built Distributions

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Provenance

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MD5	`e8f4fa8d06170cdfa16febe9fdac2f2c`
BLAKE2b-256	`7998b207090944031dd65df9b92785e75618b0b6b286040737b0e0db6103e555`

Algorithm	Hash digest
SHA256	`a9b9eb495dc970e45a4bc750c95628f7e1dbbb24089b7a43dae68bc8dcd75d29`
MD5	`6114e013533e730ee467bad8067d3afe`
BLAKE2b-256	`fd8d64c8b0be1f6e02901154e95f57f973b2c9eddd065c0178a70c3e0336e537`

Algorithm	Hash digest
SHA256	`f68d927d39d6096ce5b7ddd9e7d92a2c4262da41e7e867b4a746345b86a2ef53`
MD5	`68b8990e5e29693dadc1026427f99382`
BLAKE2b-256	`9e4acf7561cd737cfcb40f0d7637c40548c9a84dc6e6f73b527eb3d1c1a06049`

Algorithm	Hash digest
SHA256	`4c5221b55c62823b36fbba270f9b74a64078681d1bcc6b61dc08baedc92f195f`
MD5	`5fbdaf4f583d8f4652226c0766fe2220`
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Algorithm	Hash digest
SHA256	`183d324125f564a6000b60aea92ab5edbf5bbd46290740a71492a9428938732c`
MD5	`b61c2350579f23e97648c924a54389aa`
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Algorithm	Hash digest
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MD5	`b4946fd44ae137398dc912e8ae3f08d7`
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MD5	`3979a92507beb73e86e524d241968ce6`
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Algorithm	Hash digest
SHA256	`6a04e7931c64679713a5916e6e2140b61731dda707a8a08c94cee2129c776683`
MD5	`23c8ef2d36d4ec85ffecb9530f95c96b`
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Algorithm	Hash digest
SHA256	`64394293e093c5c30ff57668e88fe319ebf09f70cf9aa4efdaf6150567f08dc1`
MD5	`ed4251c737f43c80106a174f1b63c87e`
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Algorithm	Hash digest
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MD5	`91f8c767e0776b73a187ee9b95b0d3a2`
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