diff --git a/README.md b/README.md
index 02e6795..930e5a5 100644
--- a/README.md
+++ b/README.md
@@ -38,7 +38,7 @@ longer-term roadmap (WFC3, JWST, per-exposure frame products) in
 ## Installation
 
 ```bash
-pip install autoreduce            # core (outputs + packaging only)
-pip install "autoreduce[hst]"     # + the STScI HST reduction stack (drizzlepac)
-pip install "autoreduce[psf]"     # + high-fidelity PSF reconstruction back-ends
+pip install pyautoreduce            # core (outputs + packaging only)
+pip install "pyautoreduce[hst]"     # + the STScI HST reduction stack (drizzlepac)
+pip install "pyautoreduce[psf]"     # + high-fidelity PSF reconstruction back-ends
 ```
diff --git a/autoreduce/__init__.py b/autoreduce/__init__.py
index 97c7429..85a9143 100644
--- a/autoreduce/__init__.py
+++ b/autoreduce/__init__.py
@@ -13,7 +13,11 @@
 from importlib.metadata import version as _version, PackageNotFoundError
 
 try:
-    __version__ = _version("autoreduce")
+    # The distribution is `pyautoreduce`; the import package is `autoreduce`
+    # (PyAutoReduce#71). Looking up "autoreduce" here would resolve to the
+    # unrelated PyPI project of that name when it happens to be installed, and
+    # fall back to "0.0.dev0" when it is not.
+    __version__ = _version("pyautoreduce")
 except PackageNotFoundError:
     __version__ = "0.0.dev0"
 
diff --git a/autoreduce/package/cosmic_rays.py b/autoreduce/package/cosmic_rays.py
index a139504..9c6d290 100644
--- a/autoreduce/package/cosmic_rays.py
+++ b/autoreduce/package/cosmic_rays.py
@@ -50,7 +50,7 @@ def masker_for(adapter_key: str) -> Callable[[np.ndarray], np.ndarray]:
     except ImportError as err:
         raise ImportError(
             "frame_products needs deepCR for per-frame cosmic-ray masks — "
-            "pip install autoreduce[frames] (or pip install deepCR)"
+            "pip install pyautoreduce[frames] (or pip install deepCR)"
         ) from err
     model = deepCR(mask=DEEPCR_MODELS[adapter_key], device="CPU")
 
diff --git a/autoreduce/psf/stpsf_model.py b/autoreduce/psf/stpsf_model.py
index 7733299..608ffc7 100644
--- a/autoreduce/psf/stpsf_model.py
+++ b/autoreduce/psf/stpsf_model.py
@@ -48,7 +48,7 @@ def model_frame_psf(
         import stpsf
     except ImportError as err:
         raise ImportError(
-            "tier-2b model PSFs need stpsf — pip install autoreduce[psf] "
+            "tier-2b model PSFs need stpsf — pip install pyautoreduce[psf] "
             "(or pip install stpsf, plus its reference data)"
         ) from err
     import poppy
diff --git a/docs/design/hst_acs_pipeline.md b/docs/design/hst_acs_pipeline.md
index e9fbb0d..97d638b 100644
--- a/docs/design/hst_acs_pipeline.md
+++ b/docs/design/hst_acs_pipeline.md
@@ -476,7 +476,7 @@ Design decisions:
   model + threshold, so datasets remain re-maskable). WFC3/IR skips deepCR
   — calwf3 up-the-ramp fitting already flags IR CRs in DQ.
   Mask-only by contract: deepCR inpainting is never used — bad pixels are
-  masked, never fabricated. Optional dependency: `autoreduce[frames]`.
+  masked, never fabricated. Optional dependency: `pyautoreduce[frames]`.
 - **Masking policy** — any nonzero DQ bit, deepCR CR pixel, off-chip or
   non-finite/non-positive-ERR pixel is masked-by-noise
   (`noise = MASKED_NOISE_VALUE`, `data = 0`), so each frame's
diff --git a/pyproject.toml b/pyproject.toml
index 1ed0907..75a8e57 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -3,7 +3,13 @@ requires = ["setuptools>=79.0", "setuptools-scm", "wheel"]
 build-backend = "setuptools.build_meta"
 
 [project]
-name = "autoreduce"
+# The distribution name is `pyautoreduce`, NOT `autoreduce`: `autoreduce` on
+# PyPI belongs to an unrelated, actively maintained project
+# (github.com/ayush9pandey/AutoReduce — automated model reduction of nonlinear
+# dynamical systems, 0.1.0 in 2020 through 0.9 in 2026). We cannot publish
+# under it, and until 2026-08-24 our own README told users to install it.
+# The IMPORT package stays `autoreduce` — see PyAutoReduce#71.
+name = "pyautoreduce"
 dynamic = ["version"]
 description = "Data reduction of HST (and future JWST/other) imaging into modeling-ready datasets for PyAutoLens and PyAutoGalaxy"
 readme = { file = "README.md", content-type = "text/markdown" }