diff --git a/src/carousel/__init__.py b/src/carousel/__init__.py
index 7530edc..603bed1 100644
--- a/src/carousel/__init__.py
+++ b/src/carousel/__init__.py
@@ -1,11 +1,12 @@
-from .def_acc import *
+import polars as pl
+from .def_acc import deferred_acceptance_GS
 
 
 def check_match_unstable(
-    match,
-    applicant_prefs,
-    position_prefs,
-    capacities,
+    match: pl.DataFrame,
+    applicant_prefs: pl.DataFrame,
+    position_prefs: pl.DataFrame,
+    capacities: pl.DataFrame,
     *,
     app_col: str = "applicant",
     pos_col: str = "position",
@@ -26,14 +27,14 @@ def check_match_unstable(
     | position | applicant | rank |
 
     """
-    pass # TODO
+    pass  # TODO
 
 
 def check_match_stable(
-    match,
-    applicant_prefs,
-    position_prefs,
-    capacities,
+    match: pl.DataFrame,
+    applicant_prefs: pl.DataFrame,
+    position_prefs: pl.DataFrame,
+    capacities: pl.DataFrame,
     *,
     app_col: str = "applicant",
     pos_col: str = "position",
@@ -54,4 +55,98 @@ def check_match_stable(
     | position | applicant | rank |
 
     """
-    pass # TODO
\ No newline at end of file
+    pass  # TODO
+
+
+def pref_to_rank(
+    p: pl.DataFrame, ranker_col: str, rankee_col: str, rank_col: str = "rank"
+) -> pl.DataFrame:
+    """
+    Convert a preference list (long table) into a ranking (wide table).
+
+    """
+    return p.pivot(
+        on=rankee_col, index=ranker_col, values=rank_col, aggregate_function="first"
+    ).sort(ranker_col)
+
+
+def rank_to_pref(
+    r: pl.DataFrame,
+    ranker_col: str,
+    rankee_col: str,
+    rank_col: str = "rank",
+    rank_dtype=pl.UInt32,
+) -> pl.DataFrame:
+    """
+    Convert a ranking (wide table) into a preference list (long table).
+
+    """
+    cols = [c for c in r.columns if c != ranker_col]
+
+    return (
+        r.unpivot(
+            on=cols, index=ranker_col, variable_name=rankee_col, value_name=rank_col
+        )
+        .with_columns(pl.col(rank_col).cast(rank_dtype))
+        .sort([ranker_col, rank_col])
+    )
+
+
+def default_convranks(
+    prefs: pl.DataFrame, ranker_col: str, rankee_col: str, rank_col: str = "rank"
+):
+    """
+    Default converse rankings -- uniform ranking/no preference.
+    """
+    rankees = [c for c in prefs.columns if c != ranker_col]
+
+    rankers = prefs[ranker_col].to_list()
+
+    return pl.DataFrame(
+        {rankee_col: rankees, **{r: [1] * len(rankees) for r in rankers}}
+    )
+
+
+def default_caps(position_prefs: pl.DataFrame, pos_col: str = "position"):
+    """
+    Default capacities -- one of each.
+    """
+    positions = position_prefs[pos_col].to_list()
+    return pl.DataFrame(
+        {pos_col: positions, "capacity": [1 for _, _ in enumerate(positions)]}
+    )
+
+
+def def_acc_GS(
+    applicant_prefs: pl.DataFrame,
+    position_prefs: pl.DataFrame,
+    capacities: pl.DataFrame,
+    *,
+    app_col: str = "applicant",
+    pos_col: str = "position",
+    rank_col: str = "rank",
+    by: str = "ranking",  # alt: "preference"
+) -> pl.DataFrame:
+    """
+    Find the Gale-Shapley deferred-acceptance proposer-optimal matching.
+    """
+    if by == "preference":
+        return deferred_acceptance_GS(
+            applicant_prefs,
+            position_prefs,
+            capacities,
+            app_col=app_col,
+            pos_col=pos_col,
+            rank_col=rank_col,
+        )
+    elif by == "ranking":
+        return deferred_acceptance_GS(
+            rank_to_pref(applicant_prefs, app_col, pos_col, rank_col=rank_col),
+            rank_to_pref(position_prefs, pos_col, app_col, rank_col=rank_col),
+            capacities,
+            app_col=app_col,
+            pos_col=pos_col,
+            rank_col=rank_col,
+        )
+    else:
+        raise NotImplementedError(f"`def_acc_GS` with by={by} not implemented!")
diff --git a/src/carousel/def_acc.py b/src/carousel/def_acc.py
index 7b9d07f..f440e03 100644
--- a/src/carousel/def_acc.py
+++ b/src/carousel/def_acc.py
@@ -5,7 +5,7 @@ import numpy as np
 import polars as pl
 
 
-def GS_deferred_acceptance(
+def deferred_acceptance_GS(
     applicant_prefs: pl.DataFrame,
     position_prefs: pl.DataFrame,
     capacities: pl.DataFrame,
@@ -13,6 +13,7 @@ def GS_deferred_acceptance(
     app_col: str = "applicant",
     pos_col: str = "position",
     rank_col: str = "rank",
+    tiebreaker_seed: int = 1234,
 ) -> pl.DataFrame:
     """
     Compute the proposer-optimal Gale-Shapley deferred acceptance stable matching for a
@@ -39,6 +40,8 @@ def GS_deferred_acceptance(
     | applicant | position |
     """
 
+    rng = np.random.default_rng(tiebreaker_seed)
+
     app_idxs = (
         applicant_prefs.select(app_col).unique().sort(app_col).with_row_index("app_idx")
     )
@@ -50,11 +53,14 @@ def GS_deferred_acceptance(
     n_apps = app_idxs.height
     n_poss = pos_idxs.height
 
+    tie_break = rng.random(n_apps)
+
     ap = (
         applicant_prefs.join(app_idxs, on=app_col)
         .join(pos_idxs, on=pos_col)
         .sort(["app_idx", rank_col])
     )
+
     al = (
         ap.group_by("app_idx", maintain_order=True)
         .agg(pl.col("pos_idx"))
@@ -110,16 +116,16 @@ def GS_deferred_acceptance(
             heap = pos_heaps[p]
 
             if len(heap) < cap[p]:
-                heapq.heappush(heap, (-arank, a))
-                matched_pos[a] = a
+                heapq.heappush(heap, (-arank, tie_break[a], a))
+                matched_pos[a] = p
                 break
 
-            worst_neg_rank, worst_app = heap[0]
+            worst_neg_rank, worst_tie, worst_app = heap[0]
             worst_rank_current = -worst_neg_rank
 
             if arank < worst_rank_current:
-                heapq.heapreplace(heap, (-arank, a))
-                matched_pos[a] = a
+                heapq.heapreplace(heap, (-arank, tie_break[a], a))
+                matched_pos[a] = p
                 matched_pos[worst_app] = -1
 
                 free.append(worst_app)
diff --git a/src/carouselcmd.py b/src/carouselcmd.py
index 945c578..cd8fe99 100644
--- a/src/carouselcmd.py
+++ b/src/carouselcmd.py
@@ -4,7 +4,6 @@
 #     "click>=8.4.1",
 #     "rich>=15.0.0",
 #     "polars>=1.40.1",
-#     "rustworkx>=0.17.1"
 # ]
 # ///
 import sys, io
@@ -15,19 +14,35 @@ from rich.table import Table
 from rich.panel import Panel
 
 import polars as pl
-from carousel import match_from_prefs
+from carousel import default_convranks, default_caps, def_acc_GS
 
 
 @click.command()
-@click.argument("preferences", type=click.Path(exists=True, dir_okay=False))
+@click.argument("applicant-prefs", type=click.Path(exists=True, dir_okay=False))
 @click.option(
-    "--show-preferences",
+    "--position-prefs", type=click.Path(exists=True, dir_okay=False), default=None
+)
+@click.option("--capacities", type=str, default=None)
+@click.option("--app-col", default="applicant")
+@click.option("--pos-col", default="position")
+@click.option("--rnk-col", default="rank")
+@click.option(
+    "--show-prefs",
     "-b",
     is_flag=True,
     help="Show relevant preferences (after selections).",
 )
 @click.option("--pretty", "-p", is_flag=True, help="Pretty-print output.")
-def cli(preferences: str, show_ballots=False, pretty=False) -> None:
+def cli(
+    applicant_prefs: str,
+    position_prefs: str | None,
+    capacities: str | None,
+    app_col: str,
+    pos_col: str,
+    rnk_col: str,
+    show_prefs: bool,
+    pretty: bool,
+) -> None:
     """
     Compute the Gale-Shapley stable match of some preferences -- .csv or .xls(x).
 
@@ -38,7 +53,88 @@ def cli(preferences: str, show_ballots=False, pretty=False) -> None:
 
     console = Console()
 
-    pass
+    try:
+        if applicant_prefs.endswith(".csv"):
+            dfa = pl.read_csv(applicant_prefs)
+        elif applicant_prefs.endswith((".xlsx", ".xls")):
+            dfa = pl.read_excel(applicant_prefs)
+        else:
+            console.print(
+                "[bold red]Unsupported applicant_prefs filetype.[/bold red]\nUse CSV or Excel."
+            )
+            raise SystemExit(1)
+
+        dfa = dfa.rename({c: c.strip() for c in dfa.columns})
+        dfa = dfa.with_columns(
+            [pl.col(app_col).cast(pl.Utf8).str.strip_chars()]
+            + [
+                pl.col(c).cast(pl.Utf8).str.strip_chars().cast(pl.Int64, strict=False)
+                for c in dfa.columns
+                if c != app_col
+            ]
+        )
+
+        if position_prefs is None:
+            dfp = default_convranks(dfa, app_col, pos_col)
+        elif position_prefs.endswith(".csv"):
+            dfp = pl.read_csv(position_prefs)
+        elif position_prefs.endswith((".xlsx", ".xls")):
+            dfp = pl.read_excel(position_prefs)
+        else:
+            console.print(
+                "[bold red]Unsupported position_prefs filetype.[/bold red]\nUse CSV or Excel."
+            )
+            raise SystemExit(1)
+
+        dfp = dfp.rename({c: c.strip() for c in dfp.columns})
+        dfp = dfp.with_columns(
+            [pl.col(pos_col).cast(pl.Utf8).str.strip_chars()]
+            + [
+                pl.col(c).cast(pl.Utf8).str.strip_chars().cast(pl.Int64, strict=False)
+                for c in dfp.columns
+                if c != pos_col
+            ]
+        )
+
+        if capacities is None:
+            caps = default_caps(dfp)
+        elif capacities.endswith(".csv"):
+            caps = pl.read_csv(capacities)
+        elif capacities.endswith((".xlsx", ".xls")):
+            caps = pl.read_excel(capacities)
+        else:
+            positions = dfp[pos_col].to_list()
+            caps = [int(x.strip()) for x in capacities.split(",")]
+
+            if len(caps) != len(positions):
+                raise click.ClickException(
+                    f"Expected {len(positions)} capacities, found {len(caps)}."
+                )
+
+            caps = pl.DataFrame({pos_col: positions, "capacity": caps})
+
+        match = def_acc_GS(
+            dfa, dfp, caps, app_col=app_col, pos_col=pos_col, rank_col=rnk_col
+        )
+
+        if pretty:
+            t = Table(title="GS Matching")
+
+            for col in match.columns:
+                t.add_column(col)
+
+            for row in match.iter_rows():
+                t.add_row(*map(str, row))
+
+            console.print(t)
+            console.print()
+        else:
+            for row in match.iter_rows():
+                console.print(", ".join(f"{c}" for c in map(str, row)))
+
+    except Exception as e:
+        console.print(f"[bold red]Error:[/bold red] {e}")
+        raise SystemExit(1)
 
 
 if __name__ == "__main__":
diff --git a/test/galeshapley_test.py b/test/test_GS.py
similarity index 59%
rename from test/galeshapley_test.py
rename to test/test_GS.py
index f9e8e84..6139d3f 100644
--- a/test/galeshapley_test.py
+++ b/test/test_GS.py
@@ -1,6 +1,6 @@
 import polars as pl
 from polars.testing import assert_frame_equal
-from carousel import GS_deferred_acceptance
+from carousel import def_acc_GS
 
 
 def test_prefs():
@@ -68,8 +68,57 @@ def test_prefs():
     )
 
     assert_frame_equal(
-        GS_deferred_acceptance(
-            people_prefs, fruit_prefs, capacities, app_col="people", pos_col="fruit"
+        def_acc_GS(
+            people_prefs,
+            fruit_prefs,
+            capacities,
+            app_col="people",
+            pos_col="fruit",
+            by="preference",
+        ).sort(["people", "fruit"]),
+        pl.DataFrame(
+            {
+                "people": ["Alice", "Bob", "Charlie"],
+                "fruit": ["apple", "banana", "cherry"],
+            }
+        ).sort(["people", "fruit"]),
+    )
+
+
+def test_ranks():
+    people_ranks = pl.DataFrame(
+        {
+            "people": ["Alice", "Bob", "Charlie"],
+            "apple": [1, 3, 2],
+            "banana": [2, 1, 3],
+            "cherry": [3, 2, 1],
+        }
+    )
+
+    fruit_ranks = pl.DataFrame(
+        {
+            "fruit": ["apple", "banana", "cherry"],
+            "Alice": [1, 1, 1],
+            "Bob": [1, 1, 1],
+            "Charlie": [1, 1, 1],
+        }
+    )
+
+    capacities = pl.DataFrame(
+        {
+            "fruit": ["apple", "cherry", "banana"],
+            "capacity": [1, 1, 1],  # have one of each
+        }
+    )
+
+    assert_frame_equal(
+        def_acc_GS(
+            people_ranks,
+            fruit_ranks,
+            capacities,
+            app_col="people",
+            pos_col="fruit",
+            by="ranking",
         ).sort(["people", "fruit"]),
         pl.DataFrame(
             {
diff --git a/test/test_ap.csv b/test/test_ap.csv
new file mode 100644
index 0000000..2bf5f28
--- /dev/null
+++ b/test/test_ap.csv
@@ -0,0 +1,4 @@
+applicant, pos1, pos2, pos3
+Alice, 1, 2, 3
+Bob, 2, 3, 1
+Charlie, 2, 1, 3
diff --git a/test/test_pp.csv b/test/test_pp.csv
new file mode 100644
index 0000000..7966279
--- /dev/null
+++ b/test/test_pp.csv
@@ -0,0 +1,4 @@
+position, Alice, Bob, Charlie
+pos1, 3, 2, 1
+pos2, 2, 3, 1
+pos3, 3, 1, 2
diff --git a/uv.lock b/uv.lock
index e60a3d9..8f9b24e 100644
--- a/uv.lock
+++ b/uv.lock
@@ -243,11 +243,11 @@ wheels = [
 
 [[package]]
 name = "docutils"
-version = "0.22.4"
+version = "0.23"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/ae/b6/03bb70946330e88ffec97aefd3ea75ba575cb2e762061e0e62a213befee8/docutils-0.22.4.tar.gz", hash = "sha256:4db53b1fde9abecbb74d91230d32ab626d94f6badfc575d6db9194a49df29968", size = 2291750, upload-time = "2025-12-18T19:00:26.443Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/39/a4/5180d9afc57e8fca05601dd652bdff19604c218814037fe90ffc7625a50a/docutils-0.23.tar.gz", hash = "sha256:746f5060322511280a1e50eb76846ed6bf2342984b2ac04dc42caa1a8d78799e", size = 2303823, upload-time = "2026-05-27T17:41:06.934Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/02/10/5da547df7a391dcde17f59520a231527b8571e6f46fc8efb02ccb370ab12/docutils-0.22.4-py3-none-any.whl", hash = "sha256:d0013f540772d1420576855455d050a2180186c91c15779301ac2ccb3eeb68de", size = 633196, upload-time = "2025-12-18T19:00:18.077Z" },
+    { url = "https://files.pythonhosted.org/packages/32/91/30151a39f7570f448ed84529390628a651d7f27c87d73c9b887f8189695e/docutils-0.23-py3-none-any.whl", hash = "sha256:25d013af9bf23bc1c7b2b093dff4208166c53a94786c9e447808335ef1185fea", size = 634701, upload-time = "2026-05-27T17:40:58.442Z" },
 ]
 
 [[package]]
@@ -382,23 +382,23 @@ wheels = [
 
 [[package]]
 name = "hypothesis"
-version = "6.152.11"
+version = "6.155.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "sortedcontainers" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/2f/de/7437cb6baa558e7f520fe41ef55bbd944d17351cee299f7993f032a637f1/hypothesis-6.152.11.tar.gz", hash = "sha256:13167fb2fd61710ff9e9ad3fd6ac02bc683c9999a4166c9877b0b0422a908134", size = 472721, upload-time = "2026-05-26T00:15:57.82Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/49/ef/4a94c12429986a90076057513e084bf32106a9bdc62c8e29f58673dd85a2/hypothesis-6.155.1.tar.gz", hash = "sha256:07c102031612b98d7c1be15ca3608c43e1234d9d07e3a190a53fa01536700196", size = 477300, upload-time = "2026-05-29T23:12:57.515Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/44/63/1ff40142fd3cd641f93e8a1f70c6b9fe24255f6111a137a25f2fcbd4ba71/hypothesis-6.152.11-py3-none-any.whl", hash = "sha256:deffc64bf3c178ca8225ce56926c345e43aacbc3d8b8d6df6f766c514f48e81f", size = 538883, upload-time = "2026-05-26T00:15:54.754Z" },
+    { url = "https://files.pythonhosted.org/packages/26/6e/8c9cf32201238617454303b1605dfa667d90cd1ef51226f92d9c2b3b8f7c/hypothesis-6.155.1-py3-none-any.whl", hash = "sha256:2753f469df3ba3c483b08e0c37dbcbc41d8316ebb921abcc07493ee9c8a7d187", size = 543715, upload-time = "2026-05-29T23:12:54.77Z" },
 ]
 
 [[package]]
 name = "idna"
-version = "3.16"
+version = "3.17"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/1a/88/bcf9709822fe69d02c2a6a77956c98ce6ea8ca8767a9aadcedc7eb6a2390/idna-3.16.tar.gz", hash = "sha256:d7a6da03db833450fca25d2358ac9ff06cd624577a4aea3a596d5c0f77b8e03d", size = 203770, upload-time = "2026-05-22T00:16:18.781Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/b9/28/99c51f664567218d824af024c0251650fb27e4ca066df188dab0769c5b91/idna-3.17.tar.gz", hash = "sha256:5eb0cb53bc467c12eadcf6de83163ad8527cec9416f44b9b61b19caedad2b87f", size = 196048, upload-time = "2026-05-28T14:32:38.55Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/94/16/70255075a9859a0e3adb789b68ceb0e210dec03934245fd98d248226572f/idna-3.16-py3-none-any.whl", hash = "sha256:cc246e3a3f89580c3a951b5ad298ca4638078b2cdd4f115654332b5c26daded5", size = 74165, upload-time = "2026-05-22T00:16:16.698Z" },
+    { url = "https://files.pythonhosted.org/packages/de/a7/f76514cc40ad6234098ecdebda08732d75964776c51a42845b7da10649e2/idna-3.17-py3-none-any.whl", hash = "sha256:466e48829084efe2548012b855df21540b96f2e20e51bd124c851536556a592c", size = 65316, upload-time = "2026-05-28T14:32:37.035Z" },
 ]
 
 [[package]]
@@ -539,11 +539,11 @@ wheels = [
 
 [[package]]
 name = "logfire-api"
-version = "4.33.0"
+version = "4.34.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/47/1a/c44eb3a02407aa739669822d19734e76e8751284b86cd99c73baca36998a/logfire_api-4.33.0.tar.gz", hash = "sha256:0a604f710e803db08a2ddc41e6152bf8d8a56b549f8856cbf82baa36bc7de2c9", size = 81483, upload-time = "2026-05-13T15:14:17.348Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/48/bf/58dca8e1df9deb11ebeeaeae5f8a992e8020d9036b25a03f9f24a3f7d16d/logfire_api-4.34.0.tar.gz", hash = "sha256:fcaeb3da0895c39a5e66caef25ffbe41b2e61918ed40fbc863ae98e2b4c82241", size = 82736, upload-time = "2026-05-26T18:09:53.307Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/d4/58/dc21672e0d5294668f4d35aaba4d839d031f096b4cf6802399c4b411b5fc/logfire_api-4.33.0-py3-none-any.whl", hash = "sha256:b992727bab71412b5a00f54453eec18e559232c83d7120cf5c6a9edd33fb0c4e", size = 128896, upload-time = "2026-05-13T15:14:14.322Z" },
+    { url = "https://files.pythonhosted.org/packages/97/b9/639818adb83dad11e9b21b4ad1906883b98732b06959257e33f7d7f14db9/logfire_api-4.34.0-py3-none-any.whl", hash = "sha256:ca51498bb60e1e4505c90cc20f949d2d6dcf9d15cf5fd5a46f14016f2f638c4c", size = 130718, upload-time = "2026-05-26T18:09:50.551Z" },
 ]
 
 [[package]]
@@ -889,11 +889,11 @@ wheels = [
 
 [[package]]
 name = "platformdirs"
-version = "4.9.6"
+version = "4.10.0"
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