diff --git a/.github/workflows/basic_tests.yml b/.github/workflows/basic_tests.yml
index 13ea829da..8b01c30cc 100644
--- a/.github/workflows/basic_tests.yml
+++ b/.github/workflows/basic_tests.yml
@@ -8,10 +8,6 @@ on:
         type: string
         default: '3.11.x'
     secrets:
-      GRAPHISTRY_USERNAME:
-        required: true
-      GRAPHISTRY_PASSWORD:
-        required: true
       LLM_PROVIDER:
         required: true
       LLM_MODEL:
@@ -125,9 +121,6 @@ jobs:
     name: Run Simple Examples
     runs-on: ubuntu-22.04
     env:
-      GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }}
-      GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }}
-
       LLM_PROVIDER: openai
       LLM_MODEL: ${{ secrets.LLM_MODEL }}
       LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }}
@@ -157,9 +150,6 @@ jobs:
     name: Run Basic Graph Tests
     runs-on: ubuntu-22.04
     env:
-      GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }}
-      GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }}
-
       LLM_PROVIDER: openai
       LLM_MODEL: ${{ secrets.LLM_MODEL }}
       LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }}
diff --git a/.github/workflows/e2e_tests.yml b/.github/workflows/e2e_tests.yml
index 05c2b055e..4e50cd325 100644
--- a/.github/workflows/e2e_tests.yml
+++ b/.github/workflows/e2e_tests.yml
@@ -26,10 +26,6 @@ on:
         required: true
       OPENAI_API_KEY:
         required: true
-      GRAPHISTRY_USERNAME:
-        required: true
-      GRAPHISTRY_PASSWORD:
-        required: true
       AWS_ACCESS_KEY_ID:
         required: true
       AWS_SECRET_ACCESS_KEY:
diff --git a/.github/workflows/examples_tests.yml b/.github/workflows/examples_tests.yml
index 809e87e0b..796faf2e0 100644
--- a/.github/workflows/examples_tests.yml
+++ b/.github/workflows/examples_tests.yml
@@ -20,8 +20,6 @@ jobs:
         env:
           LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }}
           OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-          GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }}
-          GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }}
         run: poetry run python ./examples/python/multimedia_example.py
 
   test-eval-example:
@@ -51,8 +49,6 @@ jobs:
           EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }}
           EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }}
           EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }}
-          GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }}
-          GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }}
         run: poetry run python ./cognee/eval_framework/run_eval.py
 
   test-descriptive-metrics:
@@ -78,8 +74,6 @@ jobs:
           EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }}
           EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }}
           EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }}
-          GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }}
-          GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }}
         run: poetry run python ./cognee/tests/tasks/descriptive_metrics/networkx_metrics_test.py
 
 
@@ -98,8 +92,6 @@ jobs:
       - name: Run Dynamic Steps Tests
         env:
           OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-          GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }}
-          GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }}
           LLM_MODEL: ${{ secrets.LLM_MODEL }}
           LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }}
           LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
diff --git a/.github/workflows/python_version_tests.yml b/.github/workflows/python_version_tests.yml
index 6a6aec6b8..76799ec80 100644
--- a/.github/workflows/python_version_tests.yml
+++ b/.github/workflows/python_version_tests.yml
@@ -8,10 +8,6 @@ on:
         type: string
         default: '["3.10.x", "3.11.x", "3.12.x"]'
     secrets:
-      GRAPHISTRY_USERNAME:
-        required: true
-      GRAPHISTRY_PASSWORD:
-        required: true
       LLM_PROVIDER:
         required: true
       LLM_MODEL:
@@ -96,9 +92,6 @@ jobs:
         shell: bash
         env:
           PYTHONUTF8: 1
-          GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }}
-          GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }}
-
           LLM_PROVIDER: openai
           LLM_MODEL: ${{ secrets.LLM_MODEL }}
           LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }}
diff --git a/.github/workflows/reusable_notebook.yml b/.github/workflows/reusable_notebook.yml
index f11694265..4f97476ef 100644
--- a/.github/workflows/reusable_notebook.yml
+++ b/.github/workflows/reusable_notebook.yml
@@ -8,10 +8,6 @@ on:
         required: true
         type: string
     secrets:
-      GRAPHISTRY_USERNAME:
-        required: true
-      GRAPHISTRY_PASSWORD:
-        required: true
       #LLM_MODEL:
       #  required: true
       #LLM_ENDPOINT:
@@ -67,8 +63,6 @@ jobs:
           EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }}
           EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }}
           EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }}
-          GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }}
-          GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }}
         run: |
           poetry run jupyter nbconvert \
           --to notebook \
diff --git a/.github/workflows/test_ollama.yml b/.github/workflows/test_ollama.yml
index 7ce29d82a..8f85efadc 100644
--- a/.github/workflows/test_ollama.yml
+++ b/.github/workflows/test_ollama.yml
@@ -91,8 +91,6 @@ jobs:
       - name: Run example test
         env:
           OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-          GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }}
-          GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }}
           PYTHONFAULTHANDLER: 1
           LLM_PROVIDER: "ollama"
           LLM_API_KEY: "ollama"
diff --git a/cognee-starter-kit/README.md b/cognee-starter-kit/README.md
index fab9142c1..c265e278e 100644
--- a/cognee-starter-kit/README.md
+++ b/cognee-starter-kit/README.md
@@ -80,15 +80,6 @@ cognee provides a visualize_graph function that will render the graph for you.
     )
     await visualize_graph(graph_file_path)
 ```
-If you want to use tools like Graphistry for graph visualization:
-- create an account and API key from https://www.graphistry.com
-- add the following environment variables to `.env` file:
-```
-GRAPHISTRY_USERNAME=""
-GRAPHISTRY_PASSWORD=""
-```
-Note: `GRAPHISTRY_PASSWORD` is API key.
-
 
 # What will you build with cognee?
 
diff --git a/cognee-starter-kit/src/pipelines/custom-model.py b/cognee-starter-kit/src/pipelines/custom-model.py
index 347758636..d373bfd37 100644
--- a/cognee-starter-kit/src/pipelines/custom-model.py
+++ b/cognee-starter-kit/src/pipelines/custom-model.py
@@ -3,7 +3,6 @@ import asyncio
 import pathlib
 from cognee import config, add, cognify, search, SearchType, prune, visualize_graph
 
-# from cognee.shared.utils import render_graph
 from cognee.low_level import DataPoint
 
 
@@ -50,10 +49,6 @@ async def main():
     # Cognify the text data.
     await cognify(graph_model=ProgrammingLanguage)
 
-    # # Get a graphistry url (Register for a free account at https://www.graphistry.com)
-    # url = await render_graph()
-    # print(f"Graphistry URL: {url}")
-
     # Or use our simple graph preview
     graph_file_path = str(
         pathlib.Path(
diff --git a/cognee-starter-kit/src/pipelines/default.py b/cognee-starter-kit/src/pipelines/default.py
index 4ac4bcbc4..e757ffc3f 100644
--- a/cognee-starter-kit/src/pipelines/default.py
+++ b/cognee-starter-kit/src/pipelines/default.py
@@ -2,7 +2,6 @@ import os
 import asyncio
 import pathlib
 from cognee import config, add, cognify, search, SearchType, prune, visualize_graph
-# from cognee.shared.utils import render_graph
 
 
 async def main():
@@ -30,10 +29,6 @@ async def main():
     # Cognify the text data.
     await cognify()
 
-    # # Get a graphistry url (Register for a free account at https://www.graphistry.com)
-    # url = await render_graph()
-    # print(f"Graphistry URL: {url}")
-
     # Or use our simple graph preview
     graph_file_path = str(
         pathlib.Path(
diff --git a/cognee/api/v1/config/config.py b/cognee/api/v1/config/config.py
index 792d5e200..fed2796ae 100644
--- a/cognee/api/v1/config/config.py
+++ b/cognee/api/v1/config/config.py
@@ -181,15 +181,3 @@ class config:
     def set_vector_db_url(db_url: str):
         vector_db_config = get_vectordb_config()
         vector_db_config.vector_db_url = db_url
-
-    @staticmethod
-    def set_graphistry_config(graphistry_config: dict[str, str]):
-        base_config = get_base_config()
-
-        if "username" not in graphistry_config or "password" not in graphistry_config:
-            raise InvalidValueError(
-                message="graphistry_config dictionary must contain 'username' and 'password' keys."
-            )
-
-        base_config.graphistry_username = graphistry_config.get("username")
-        base_config.graphistry_password = graphistry_config.get("password")
diff --git a/cognee/base_config.py b/cognee/base_config.py
index 837834273..f4a5c00d2 100644
--- a/cognee/base_config.py
+++ b/cognee/base_config.py
@@ -9,8 +9,6 @@ from pydantic_settings import BaseSettings, SettingsConfigDict
 class BaseConfig(BaseSettings):
     data_root_directory: str = get_absolute_path(".data_storage")
     monitoring_tool: object = Observer.LANGFUSE
-    graphistry_username: Optional[str] = os.getenv("GRAPHISTRY_USERNAME")
-    graphistry_password: Optional[str] = os.getenv("GRAPHISTRY_PASSWORD")
     langfuse_public_key: Optional[str] = os.getenv("LANGFUSE_PUBLIC_KEY")
     langfuse_secret_key: Optional[str] = os.getenv("LANGFUSE_SECRET_KEY")
     langfuse_host: Optional[str] = os.getenv("LANGFUSE_HOST")
diff --git a/cognee/shared/utils.py b/cognee/shared/utils.py
index 444c4eb5d..58d6f8086 100644
--- a/cognee/shared/utils.py
+++ b/cognee/shared/utils.py
@@ -6,9 +6,7 @@ from typing import BinaryIO, Union
 import requests
 import hashlib
 from datetime import datetime, timezone
-import graphistry
 import networkx as nx
-import pandas as pd
 import matplotlib.pyplot as plt
 import http.server
 import socketserver
@@ -138,97 +136,6 @@ def generate_color_palette(unique_layers):
     return dict(zip(unique_layers, hex_colors))
 
 
-async def register_graphistry():
-    config = get_base_config()
-    graphistry.register(
-        api=3, username=config.graphistry_username, password=config.graphistry_password
-    )
-
-
-def prepare_edges(graph, source, target, edge_key):
-    edge_list = [
-        {
-            source: str(edge[0]),
-            target: str(edge[1]),
-            edge_key: str(edge[2]),
-        }
-        for edge in graph.edges(keys=True, data=True)
-    ]
-
-    return pd.DataFrame(edge_list)
-
-
-def prepare_nodes(graph, include_size=False):
-    nodes_data = []
-    for node in graph.nodes:
-        node_info = graph.nodes[node]
-
-        if not node_info:
-            continue
-
-        node_data = {
-            **node_info,
-            "id": str(node),
-            "name": node_info["name"] if "name" in node_info else str(node),
-        }
-
-        if include_size:
-            default_size = 10  # Default node size
-            larger_size = 20  # Size for nodes with specific keywords in their ID
-            keywords = ["DOCUMENT", "User"]
-            node_size = (
-                larger_size if any(keyword in str(node) for keyword in keywords) else default_size
-            )
-            node_data["size"] = node_size
-
-        nodes_data.append(node_data)
-
-    return pd.DataFrame(nodes_data)
-
-
-async def render_graph(
-    graph=None, include_nodes=True, include_color=False, include_size=False, include_labels=True
-):
-    await register_graphistry()
-
-    if not isinstance(graph, nx.MultiDiGraph):
-        graph_engine = await get_graph_engine()
-        networkx_graph = nx.MultiDiGraph()
-
-        (nodes, edges) = await graph_engine.get_graph_data()
-
-        networkx_graph.add_nodes_from(nodes)
-        networkx_graph.add_edges_from(edges)
-
-        graph = networkx_graph
-
-    edges = prepare_edges(graph, "source_node", "target_node", "relationship_name")
-    plotter = graphistry.edges(edges, "source_node", "target_node")
-    plotter = plotter.bind(edge_label="relationship_name")
-
-    if include_nodes:
-        nodes = prepare_nodes(graph, include_size=include_size)
-        plotter = plotter.nodes(nodes, "id")
-
-        if include_size:
-            plotter = plotter.bind(point_size="size")
-
-        if include_color:
-            pass
-            # unique_layers = nodes["layer_description"].unique()
-            # color_palette = generate_color_palette(unique_layers)
-            # plotter = plotter.encode_point_color("layer_description", categorical_mapping=color_palette,
-            #                                      default_mapping="silver")
-
-        if include_labels:
-            plotter = plotter.bind(point_label="name")
-
-    # Visualization
-    url = plotter.plot(render=False, as_files=True, memoize=False)
-    print(f"Graph is visualized at: {url}")
-    return url
-
-
 # def sanitize_df(df):
 #     """Replace NaNs and infinities in a DataFrame with None, making it JSON compliant."""
 #     return df.replace([np.inf, -np.inf, np.nan], None)
diff --git a/cognee/tests/test_custom_model.py b/cognee/tests/test_custom_model.py
index fb91c279e..cdf41d605 100755
--- a/cognee/tests/test_custom_model.py
+++ b/cognee/tests/test_custom_model.py
@@ -5,7 +5,6 @@ from cognee.modules.search.operations import get_history
 from cognee.modules.users.methods import get_default_user
 from cognee.shared.logging_utils import get_logger
 from cognee.modules.search.types import SearchType
-from cognee.shared.utils import render_graph
 from cognee.low_level import DataPoint
 
 logger = get_logger()
@@ -57,9 +56,6 @@ async def main():
 
     await cognee.cognify(graph_model=ProgrammingLanguage)
 
-    url = await render_graph()
-    print(f"Graphistry URL: {url}")
-
     graph_file_path = str(
         pathlib.Path(
             os.path.join(
diff --git a/cognee/tests/unit/processing/utils/utils_test.py b/cognee/tests/unit/processing/utils/utils_test.py
index cfdae0f34..da6d003ae 100644
--- a/cognee/tests/unit/processing/utils/utils_test.py
+++ b/cognee/tests/unit/processing/utils/utils_test.py
@@ -1,7 +1,5 @@
 import os
 import pytest
-import networkx as nx
-import pandas as pd
 from unittest.mock import patch, mock_open
 from io import BytesIO
 from uuid import uuid4
@@ -9,8 +7,6 @@ from uuid import uuid4
 from cognee.shared.utils import (
     get_anonymous_id,
     get_file_content_hash,
-    prepare_edges,
-    prepare_nodes,
 )
 
 
@@ -55,21 +51,3 @@ def test_get_file_content_hash_stream():
     expected_hash = hashlib.md5(b"test_data").hexdigest()
     result = get_file_content_hash(stream)
     assert result == expected_hash
-
-
-def test_prepare_edges():
-    graph = nx.MultiDiGraph()
-    graph.add_edge("A", "B", key="AB", weight=1)
-    edges_df = prepare_edges(graph, "source", "target", "key")
-
-    assert isinstance(edges_df, pd.DataFrame)
-    assert len(edges_df) == 1
-
-
-def test_prepare_nodes():
-    graph = nx.Graph()
-    graph.add_node(1, name="Node1")
-    nodes_df = prepare_nodes(graph)
-
-    assert isinstance(nodes_df, pd.DataFrame)
-    assert len(nodes_df) == 1
diff --git a/examples/low_level/pipeline.py b/examples/low_level/pipeline.py
index a8077e932..47f8294f0 100644
--- a/examples/low_level/pipeline.py
+++ b/examples/low_level/pipeline.py
@@ -6,7 +6,6 @@ from cognee import visualize_graph
 from cognee.low_level import setup, DataPoint
 from cognee.pipelines import run_tasks, Task
 from cognee.tasks.storage import add_data_points
-from cognee.shared.utils import render_graph
 
 
 class Person(DataPoint):
@@ -80,9 +79,6 @@ async def main():
     async for status in pipeline:
         print(status)
 
-    # Get a graphistry url (Register for a free account at https://www.graphistry.com)
-    await render_graph()
-
     # Or use our simple graph preview
     graph_file_path = str(
         os.path.join(os.path.dirname(__file__), ".artifacts/graph_visualization.html")
diff --git a/examples/low_level/product_recommendation.py b/examples/low_level/product_recommendation.py
index 15fb9a7d0..782311618 100644
--- a/examples/low_level/product_recommendation.py
+++ b/examples/low_level/product_recommendation.py
@@ -10,7 +10,6 @@ from cognee.infrastructure.databases.graph import get_graph_engine
 from cognee.low_level import setup, DataPoint
 from cognee.pipelines import run_tasks, Task
 from cognee.tasks.storage import add_data_points
-from cognee.shared.utils import render_graph
 
 
 class Products(DataPoint):
@@ -119,9 +118,6 @@ async def main():
     async for status in pipeline:
         print(status)
 
-    # Get a graphistry url (Register for a free account at https://www.graphistry.com)
-    await render_graph()
-
     graph_engine = await get_graph_engine()
 
     products_results = await graph_engine.query(
diff --git a/poetry.lock b/poetry.lock
index d518a323e..f4c38f11b 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
 
 [[package]]
 name = "aiobotocore"
@@ -1406,6 +1406,27 @@ files = [
     {file = "coverage-7.9.1-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0b3496922cb5f4215bf5caaef4cf12364a26b0be82e9ed6d050f3352cf2d7ef0"},
     {file = "coverage-7.9.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:9565c3ab1c93310569ec0d86b017f128f027cab0b622b7af288696d7ed43a16d"},
     {file = "coverage-7.9.1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2241ad5dbf79ae1d9c08fe52b36d03ca122fb9ac6bca0f34439e99f8327ac89f"},
+    {file = "coverage-7.9.1-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3bb5838701ca68b10ebc0937dbd0eb81974bac54447c55cd58dea5bca8451029"},
+    {file = "coverage-7.9.1-cp313-cp313t-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b30a25f814591a8c0c5372c11ac8967f669b97444c47fd794926e175c4047ece"},
+    {file = "coverage-7.9.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:2d04b16a6062516df97969f1ae7efd0de9c31eb6ebdceaa0d213b21c0ca1a683"},
+    {file = "coverage-7.9.1-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:7931b9e249edefb07cd6ae10c702788546341d5fe44db5b6108a25da4dca513f"},
+    {file = "coverage-7.9.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:52e92b01041151bf607ee858e5a56c62d4b70f4dac85b8c8cb7fb8a351ab2c10"},
+    {file = "coverage-7.9.1-cp313-cp313t-win32.whl", hash = "sha256:684e2110ed84fd1ca5f40e89aa44adf1729dc85444004111aa01866507adf363"},
+    {file = "coverage-7.9.1-cp313-cp313t-win_amd64.whl", hash = "sha256:437c576979e4db840539674e68c84b3cda82bc824dd138d56bead1435f1cb5d7"},
+    {file = "coverage-7.9.1-cp313-cp313t-win_arm64.whl", hash = "sha256:18a0912944d70aaf5f399e350445738a1a20b50fbea788f640751c2ed9208b6c"},
+    {file = "coverage-7.9.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6f424507f57878e424d9a95dc4ead3fbdd72fd201e404e861e465f28ea469951"},
+    {file = "coverage-7.9.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:535fde4001b2783ac80865d90e7cc7798b6b126f4cd8a8c54acfe76804e54e58"},
+    {file = "coverage-7.9.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:02532fd3290bb8fa6bec876520842428e2a6ed6c27014eca81b031c2d30e3f71"},
+    {file = "coverage-7.9.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:56f5eb308b17bca3bbff810f55ee26d51926d9f89ba92707ee41d3c061257e55"},
+    {file = "coverage-7.9.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bfa447506c1a52271f1b0de3f42ea0fa14676052549095e378d5bff1c505ff7b"},
+    {file = "coverage-7.9.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:9ca8e220006966b4a7b68e8984a6aee645a0384b0769e829ba60281fe61ec4f7"},
+    {file = "coverage-7.9.1-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:49f1d0788ba5b7ba65933f3a18864117c6506619f5ca80326b478f72acf3f385"},
+    {file = "coverage-7.9.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:68cd53aec6f45b8e4724c0950ce86eacb775c6be01ce6e3669fe4f3a21e768ed"},
+    {file = "coverage-7.9.1-cp39-cp39-win32.whl", hash = "sha256:95335095b6c7b1cc14c3f3f17d5452ce677e8490d101698562b2ffcacc304c8d"},
+    {file = "coverage-7.9.1-cp39-cp39-win_amd64.whl", hash = "sha256:e1b5191d1648acc439b24721caab2fd0c86679d8549ed2c84d5a7ec1bedcc244"},
+    {file = "coverage-7.9.1-pp39.pp310.pp311-none-any.whl", hash = "sha256:db0f04118d1db74db6c9e1cb1898532c7dcc220f1d2718f058601f7c3f499514"},
+    {file = "coverage-7.9.1-py3-none-any.whl", hash = "sha256:66b974b145aa189516b6bf2d8423e888b742517d37872f6ee4c5be0073bd9a3c"},
+    {file = "coverage-7.9.1.tar.gz", hash = "sha256:6cf43c78c4282708a28e466316935ec7489a9c487518a77fa68f716c67909cec"},
 ]
 
 [package.dependencies]
@@ -2683,45 +2704,6 @@ protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4
 [package.extras]
 grpc = ["grpcio (>=1.44.0,<2.0.0)"]
 
-[[package]]
-name = "graphistry"
-version = "0.33.9"
-description = "A visual graph analytics library for extracting, transforming, displaying, and sharing big graphs with end-to-end GPU acceleration"
-optional = false
-python-versions = ">=3.7"
-groups = ["main"]
-files = [
-    {file = "graphistry-0.33.9-py3-none-any.whl", hash = "sha256:6952d96a0dfd77d7b7498f93a4986ea2189cb62553d4a27df18f02106ea4db99"},
-    {file = "graphistry-0.33.9.tar.gz", hash = "sha256:40c095ae0ad4143d686b3802495c643a3decb4d663e0038aa6645c06c95d4d0b"},
-]
-
-[package.dependencies]
-numpy = "*"
-packaging = ">=20.1"
-palettable = ">=3.0"
-pandas = "*"
-pyarrow = ">=0.15.0"
-requests = "*"
-setuptools = "*"
-squarify = "*"
-typing-extensions = "*"
-
-[package.extras]
-ai = ["dgl", "dirty-cat (==0.2.0)", "faiss-cpu", "joblib", "scikit-learn (>=1.0)", "scipy", "sentence-transformers", "torch (<2)", "umap-learn"]
-all = ["dgl", "dirty-cat (==0.2.0)", "faiss-cpu", "gremlinpython", "igraph", "ipython", "joblib", "neo4j", "neotime", "networkx (>=2.5)", "openpyxl (==3.1.0)", "scikit-learn (>=1.0)", "scipy", "sentence-transformers", "torch (<2)", "umap-learn", "xlrd"]
-bolt = ["neo4j", "neotime"]
-build = ["build"]
-dev = ["Jinja2 (<3.1)", "build", "docutils (==0.16)", "flake8 (>=5.0)", "gremlinpython", "igraph", "ipython", "mock", "mypy", "neo4j", "neotime", "networkx (>=2.5)", "numba (>=0.57.1)", "openpyxl (==3.1.0)", "pandas-stubs", "pytest", "scikit-learn (<=1.3.2)", "sphinx (==3.4.3)", "sphinx-autodoc-typehints (==1.11.1)", "sphinx-rtd-theme (==0.5.1)", "tqdm-stubs", "types-requests", "xlrd"]
-docs = ["Jinja2 (<3.1)", "docutils (==0.16)", "sphinx (==3.4.3)", "sphinx-autodoc-typehints (==1.11.1)", "sphinx-rtd-theme (==0.5.1)"]
-gremlin = ["gremlinpython"]
-igraph = ["igraph"]
-jupyter = ["ipython"]
-networkx = ["networkx (>=2.5)"]
-nodexl = ["openpyxl (==3.1.0)", "xlrd"]
-test = ["flake8 (>=5.0)", "ipython", "mock", "mypy", "pandas-stubs", "pytest", "scikit-learn (<=1.3.2)", "tqdm-stubs", "types-requests"]
-testai = ["numba (>=0.57.1)"]
-umap-learn = ["dirty-cat (==0.2.0)", "scikit-learn (>=1.0)", "umap-learn"]
-
 [[package]]
 name = "graphiti-core"
 version = "0.7.9"
@@ -3988,6 +3970,8 @@ python-versions = "*"
 groups = ["main"]
 files = [
     {file = "jsonpath-ng-1.7.0.tar.gz", hash = "sha256:f6f5f7fd4e5ff79c785f1573b394043b39849fb2bb47bcead935d12b00beab3c"},
+    {file = "jsonpath_ng-1.7.0-py2-none-any.whl", hash = "sha256:898c93fc173f0c336784a3fa63d7434297544b7198124a68f9a3ef9597b0ae6e"},
+    {file = "jsonpath_ng-1.7.0-py3-none-any.whl", hash = "sha256:f3d7f9e848cba1b6da28c55b1c26ff915dc9e0b1ba7e752a53d6da8d5cbd00b6"},
 ]
 
 [package.dependencies]
@@ -6860,18 +6844,6 @@ files = [
 dev = ["pytest", "tox"]
 lint = ["black"]
 
-[[package]]
-name = "palettable"
-version = "3.3.3"
-description = "Color palettes for Python"
-optional = false
-python-versions = ">=3.7"
-groups = ["main"]
-files = [
-    {file = "palettable-3.3.3-py2.py3-none-any.whl", hash = "sha256:74e9e7d7fe5a9be065e02397558ed1777b2df0b793a6f4ce1a5ee74f74fb0caa"},
-    {file = "palettable-3.3.3.tar.gz", hash = "sha256:094dd7d9a5fc1cca4854773e5c1fc6a315b33bd5b3a8f47064928facaf0490a8"},
-]
-
 [[package]]
 name = "pandas"
 version = "2.2.3"
@@ -7665,6 +7637,7 @@ files = [
     {file = "psycopg2_binary-2.9.10-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:bb89f0a835bcfc1d42ccd5f41f04870c1b936d8507c6df12b7737febc40f0909"},
     {file = "psycopg2_binary-2.9.10-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:f0c2d907a1e102526dd2986df638343388b94c33860ff3bbe1384130828714b1"},
     {file = "psycopg2_binary-2.9.10-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f8157bed2f51db683f31306aa497311b560f2265998122abe1dce6428bd86567"},
+    {file = "psycopg2_binary-2.9.10-cp313-cp313-win_amd64.whl", hash = "sha256:27422aa5f11fbcd9b18da48373eb67081243662f9b46e6fd07c3eb46e4535142"},
     {file = "psycopg2_binary-2.9.10-cp38-cp38-macosx_12_0_x86_64.whl", hash = "sha256:eb09aa7f9cecb45027683bb55aebaaf45a0df8bf6de68801a6afdc7947bb09d4"},
     {file = "psycopg2_binary-2.9.10-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b73d6d7f0ccdad7bc43e6d34273f70d587ef62f824d7261c4ae9b8b1b6af90e8"},
     {file = "psycopg2_binary-2.9.10-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ce5ab4bf46a211a8e924d307c1b1fcda82368586a19d0a24f8ae166f5c784864"},
@@ -10371,18 +10344,6 @@ files = [
 dev = ["duckdb (>=0.6)", "maturin (>=1.4,<2.0)", "mypy", "pandas", "pandas-stubs", "pdoc", "pre-commit", "pyperf", "python-dateutil", "pytz", "ruff (==0.7.2)", "types-python-dateutil", "types-pytz", "typing_extensions"]
 rs = ["sqlglotrs (==0.6.1)"]
 
-[[package]]
-name = "squarify"
-version = "0.4.4"
-description = "Pure Python implementation of the squarify treemap layout algorithm"
-optional = false
-python-versions = "*"
-groups = ["main"]
-files = [
-    {file = "squarify-0.4.4-py3-none-any.whl", hash = "sha256:d7597724e29d48aa14fd2f551060d6b09e1f0a67e4cd3ea329fe03b4c9a56f11"},
-    {file = "squarify-0.4.4.tar.gz", hash = "sha256:b8a110c8dc5f1cd1402ca12d79764a081e90bfc445346cfa166df929753ecb46"},
-]
-
 [[package]]
 name = "stack-data"
 version = "0.6.3"
@@ -12215,4 +12176,4 @@ weaviate = ["weaviate-client"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.10,<=3.13"
-content-hash = "ca2a3e8260092933419793efe202d50ae7b1c6ce738750876fd5f64a31718790"
+content-hash = "ad0adc46c39f2edf33c82462cb6ed2acc5ef175c2df5e9fb125a6444e2b8325b"
diff --git a/pyproject.toml b/pyproject.toml
index eebf658ae..69752ffe0 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -40,7 +40,6 @@ dependencies = [
     "aiohttp>=3.11.14",
     "aiofiles>=23.2.1",
     "rdflib>=7.1.4,<7.2.0",
-    "graphistry>=0.33.5,<0.34",
     "pypdf>=4.1.0,<6.0.0",
     "jinja2>=3.1.3,<4",
     "matplotlib>=3.8.3,<4",