diff --git a/..github/workflows/release.yaml b/..github/workflows/release.yaml
deleted file mode 100644
index 8dbcdaf..0000000
--- a/..github/workflows/release.yaml
+++ /dev/null
@@ -1,25 +0,0 @@
-name: Publish Python Package to PyPI
-
-on:
-  release:
-    types: [published]
-
-jobs:
-  deploy:
-    runs-on: ubuntu-latest
-    permissions:
-      id-token: write
-    steps:
-      - uses: actions/checkout@v4
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: '3.x'
-      - name: Install dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install build twine
-      - name: Build package
-        run: python -m build
-      - name: Publish package to PyPI
-        uses: pypa/gh-action-pypi-publish@release/v1
\ No newline at end of file
diff --git a/.coverage b/.coverage
index 1879bf3..73d2b11 100644
Binary files a/.coverage and b/.coverage differ
diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml
new file mode 100644
index 0000000..8f897a6
--- /dev/null
+++ b/.github/workflows/release.yaml
@@ -0,0 +1,52 @@
+name: Build and Release
+
+on:
+  push:
+    branches: [master]
+    tags: ['v*']
+  pull_request:
+    branches: [master]
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Set Up Python
+        uses: actions/setup-python@v5
+      
+      - name: Install uv 
+        uses: astral-sh/setup-uv@v4
+      
+      - name: Install dependencies
+        run: |
+          uv sync --dev --all-extras
+      
+      - name: Run tests (small dataset)
+        run: |
+          uv run pytest -m "not large"
+        env:
+          TEST_SIZE: small
+  
+  build:
+    needs: test
+    runs-on: ubuntu-latest
+    if: startsWith(github.ref, 'refs/tags/v')
+    steps:
+      - uses: actions/checkout@v4
+      
+      - name: Set Up Python
+        uses: actions/setup-python@v5
+      
+      - name: Install uv 
+        uses: astral-sh/setup-uv@v4
+      
+      - name: Build package
+        run: uv build --no-sources
+      
+      # - name: Publish to PyPI
+      #   run: uv publish
+      #   env:
+      #     UV_PUBLISH_TOKEN: ${{ secrets.PYPI_TOKEN }}
diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml
new file mode 100644
index 0000000..d0fda5d
--- /dev/null
+++ b/.github/workflows/test.yaml
@@ -0,0 +1,31 @@
+name: Build and Test
+
+on:
+  push:
+    branches: [dev]
+    tags: ['v*']
+  pull_request:
+    branches: [dev]
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Set Up Python
+        uses: actions/setup-python@v5
+      
+      - name: Install uv 
+        uses: astral-sh/setup-uv@v4
+      
+      - name: Install dependencies
+        run: |
+          uv sync --dev --all-extras
+      
+      - name: Run tests (small dataset)
+        run: |
+          uv run pytest -m "not large"
+        env:
+          TEST_SIZE: small
\ No newline at end of file
diff --git a/.gitignore b/.gitignore
index e00ea4a..6861dd5 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,11 +1,36 @@
 # Python-generated files
 __pycache__/
 *.py[oc]
+wheels/
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
 build/
+develop-eggs/
 dist/
-wheels/
-*.egg-info
+eggs/
+lib/
+lib64/
+*.egg-info/
+.installed.cfg
+*.manifest
+
+# Pytest cache
+.pytest_cache/
+
+# Virtual environment
+.env/
+venv/
+
+# IDE specific files
+.vscode/
+.idea/
+
+# Operating System files
+.DS_Store
+Thumbs.db
 
-# Virtual environments
-.venv
-.old
\ No newline at end of file
+.old/
\ No newline at end of file
diff --git a/README.md b/README.md
index f5757b2..95cff4f 100644
--- a/README.md
+++ b/README.md
@@ -1,11 +1,81 @@
-# 👨‍🔬 bloodhound-utils
+<img width="550" height="188" alt="mindhunter-header" src="https://github.com/user-attachments/assets/47fbbe27-251b-4961-80dc-809c73020d10" />
 
-My personal stash of Python utilities for statistical, probabilistic and data analysis.
+# 🐯 mindhunter
 
-## ℹ️ What does it include:
+Extensions for DataFrames to make statistical and analysis operations much, *much* more comfortable and convenient. Turns your `DataFrame` into a `StatFrame`, composing Mindhunter's new features *over* it, supercharging its capabilities without sacrificing compatibility. 
 
-- `StatisticalObject`: a wrapper for pandas DataFrames that adds a bunch of common statistical analysis operations to that instance.
-  - Clean and normalize DataFrame column names to lower-case, snake-case text.
-  - Retrieve columns by name.
-  - Get several statistical values: (CV, Z-score, PSD, etc.)
+---
 
+## 📦 Installation
+
+### 🗃️ From the repo:
+You need `uv` to build the module.
+
+- Clone the repository
+- `chmod +x ./build.sh`
+- `./build.sh`
+  - It will clear cache, build, install and test the module.
+
+
+## 🧪 Testing
+Mindhunter implements a fairly rudimentary setup for testing. It will look inside `tests` for any fixtures or tests inside files starting with `test_`. It uses `pytest` and `faker` to create a randomised dataset to test upon.
+
+So far, coverage goes to the extent of making sure a `StatFrame` can be created and data can be obtained. More testing is being developed and it's coming soon.
+
+
+## 📝 Features
+
+### 📋 Meet `StatFrame` and the crew
+
+- Your new `StatFrame` can be used now with Mindhunter's new **Analyzers, Plotters and Toolkits:**
+  - `DistributionAnalyzer`: adds normal distribution utilities directly on top of the `DataFrame`.
+  - `HypothesisAnalyzer`: adds hypothesis testing, binomial and related functionality.
+  - `AnalyticalTools`: provides access to `scipy.stats` methods to generate and convert several values over a given `StatFrame`.
+  - `StatPlotter`: adds ready-to-go plotting capabilities for many common values, like z-scores, Coefficient of Variation, Normal Distribution, and others; using `seaborn` and `matplotlib.pyplot`.
+  - `StatVisualizer`: provides easy access to build common graphs and visualizations, returning ready-to-go graphs just by passing lists or a `StatFrame`.
+
+### 💾 Quick stats and cached values
+- `StatFrame` also holds a cache of the most commonly-used values and variables, providing easy access to the values of not just a column, but of a whole set. It caches:
+- **Central Tendency:**
+  - mean
+  - median
+  - mode
+- **Spread/Variability:**
+  - std (standard deviation)
+  - variance
+  - range
+  - iqr (inter-quantile range)
+  - mad (median absolute deviation)
+- **Distribution Shape:**
+  - skewness
+  - kurtosis
+- **Data Quality:**
+  - count
+  - missing_count
+  - missing_pct
+- **Extreme Values:**
+  - min
+  - max
+  - q1
+  - q3
+- **Key Ratios:**
+  - cv (coefficient of variation)
+  - sem (standard error of mean)
+
+### 🧹 Auto-cleanup:
+- Mindhunter can also **automatically cleans column names, drops NaN and duplicates** of datasets. It also provides methods to **locate, analyze and remove zero-values** from your dataset.
+
+---
+
+## ℹ️ But, why?
+
+I've been studying data analysis and, over the months, I've been collecting a bunch of little methods and scripts to do my homework. It then went to the point it was a 800+ line cell on each Jupyter Notebook. It became a *bit* too much. 
+
+### 🏗️ How does it work on the inside:
+
+In short: it uses basic OOP **composition**, against all advise, to pass the `StatFrame` as an argument. That class holds the `DataFrame` itself, and all operations are done through the `StatFrame` directly to the DF. All operations act directly on the source, and calling `update()` will re-trigger the caching process.
+
+### 🔮 So, what's the future?
+
+
+This library will be updated fairly regularly, as I start collecting and tidying up more and more little tools, and taking more advantage of the internal mechanisms. I am *much* more of a developer than a data analyst, so I need much more help knowing what the community *needs* for me to keep on improving the library. If you have any issue, suggestion or comment, feel free to create a new issue!
diff --git a/a.py b/a.py
deleted file mode 100644
index 10dfced..0000000
--- a/a.py
+++ /dev/null
@@ -1,32 +0,0 @@
-from mindhunter.core import DataAnalyzer
-import pandas as pd
-from faker import Faker
-import random
-import numpy as np
-
-fake = Faker()
-
-num_records = 10
-
-data = []
-
-for _ in range(num_records):
-    record = {
-        'first_name': fake.first_name(),
-        'last_name': fake.last_name(),
-        'email': fake.email(),
-        'address': fake.address(),
-        'job': fake.job(),
-        'age': np.random.randint(18, 99)
-    }
-    data.append(record)
-    print(record)
-
-df = pd.DataFrame(data)
-assert df is not None
-
-da = DataAnalyzer(df)
-assert da is not None
-
-print(da.describe_columns('age'))
-print(da._cached_stats)
diff --git a/build.sh b/build.sh
index e1ff438..33c2cab 100755
--- a/build.sh
+++ b/build.sh
@@ -1,6 +1,7 @@
 #! /bin/sh
+# for local builds only:
 
 uv clean && rm -rf .pytest_cache .coverage htmlcov dist build *.egg-info
-uv build
+uv build --link-mode=copy
 uv pip install .
 uv run pytest -v
\ No newline at end of file
diff --git a/docs/dw-mindhunter.png b/docs/dw-mindhunter.png
new file mode 100755
index 0000000..6e7570b
Binary files /dev/null and b/docs/dw-mindhunter.png differ
diff --git a/docs/mindhunter-header.png b/docs/mindhunter-header.png
new file mode 100755
index 0000000..8661f3e
Binary files /dev/null and b/docs/mindhunter-header.png differ
diff --git a/pyproject.toml b/pyproject.toml
index e056af1..4daa4e2 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,31 +5,20 @@ build-backend = "hatchling.build"
 [tool.hatch.build.targets.wheel]
 packages = ["src/mindhunter"]
 dependencies = [
-    "pandas>=2.0.0",
-    "numpy>=1.24.0",
-    "seaborn>=0.12.0",
-    "matplotlib>=3.7.0",
-    "scipy>=1.10.0",
-]
-
-[project.optional-dependencies]
-dev = [
+    "faker>=37.8.0",
+    "matplotlib>=3.10.6",
+    "numpy>=2.3.3",
+    "pandas>=2.3.3",
+    "seaborn>=0.13.2",
     "pytest>=7.4.0",
     "pytest-cov>=4.1.0",
-    "faker>=19.0.0",
+    "scipy>=1.10.0",
 ]
 
 [tool.pytest.ini_options]
 testpaths = ["tests"]
 python_files = ["test_*.py"]
-addopts = "--cov=src/project_name --cov-report=term-missing"
-
-[tool.uv]
-dev-dependencies = [
-    "pytest>=7.4.0",
-    "pytest-cov>=4.1.0",
-    "faker>=19.0.0",
-]
+addopts = "--cov=src/mindhunter --cov-report=term-missing"
 
 [project]
 name = "mindhunter"
@@ -37,3 +26,13 @@ version = "0.1.0"
 description = "DataFrame extensions for data analysis."
 readme = "README.md"
 requires-python = ">=3.12"
+dependencies = [
+    "faker>=37.8.0",
+    "matplotlib>=3.10.6",
+    "numpy>=2.3.3",
+    "pandas>=2.3.3",
+    "seaborn>=0.13.2",
+    "pytest>=7.4.0",
+    "pytest-cov>=4.1.0",
+    "scipy>=1.10.0",
+]
\ No newline at end of file
diff --git a/src/mindhunter/__init__.py b/src/mindhunter/__init__.py
index 4b0048e..92ecd7d 100644
--- a/src/mindhunter/__init__.py
+++ b/src/mindhunter/__init__.py
@@ -5,26 +5,26 @@
 
 """
 # core
-from .core.analyzer import DataAnalyzer
+from .mindhunter import StatFrame
 
 # statistics
 from .statistics.distributions import DistributionAnalyzer
-from .statistics.hypothesis_tests import HypothesisTester
+from .statistics.hypothesis import HypothesisAnalyzer
 
 # utils
-from .utils.toolkit import AnalysisToolkit
+from .utils.toolkit import AnalyticalTools
 
 # visualization
-from .visualization.stat_plotter import StatisticalPlotter
-from .visualization.plotter import Visualizer
+from .visualization.stat_plotter import StatPlotter
+from .visualization.visualizer import StatVisualizer
 
 __version__ = '0.1.0'
 __name__ = 'mindhunter'
 __all__ = [
-    'DataAnalyzer',
+    'StatFrame',
     'DistributionAnalyzer',
-    'HypothesisTester',
-    'AnalysisToolkit',
-    'StatisticalPlotter',
-    'Visualizer',
-]
+    'HypothesisAnalyzer',
+    'AnalyticalTools',
+    'StatPlotter',
+    'StatVisualizer',
+]
\ No newline at end of file
diff --git a/src/mindhunter/core/__init__.py b/src/mindhunter/core/__init__.py
deleted file mode 100644
index dd4f152..0000000
--- a/src/mindhunter/core/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-from .analyzer import DataAnalyzer
-
-__all__ = ['DataAnalyzer']
\ No newline at end of file
diff --git a/src/mindhunter/core/analyzer.py b/src/mindhunter/mindhunter.py
similarity index 83%
rename from src/mindhunter/core/analyzer.py
rename to src/mindhunter/mindhunter.py
index e1474be..f85490f 100644
--- a/src/mindhunter/core/analyzer.py
+++ b/src/mindhunter/mindhunter.py
@@ -2,18 +2,22 @@
 import numpy as np
 import re
 
-class DataAnalyzer:
-    def __init__(self, df: pd.DataFrame):
+class StatFrame:
+    def __init__(self, df: pd.DataFrame, precalc_data: bool = True):
         self._df = df.copy()
         self._cached_stats = {}
         self.df_stats = self.df.describe()
         self.df_columns = self.df.columns.to_list()
-        self._compute_essential_stats()
+        if precalc_data == True:
+            self._compute_essential_stats()
     
     @property
     def df(self) -> pd.DataFrame:
         return self._df
 
+    def update(self):
+        self._compute_essential_stats()
+    
     def clean_df(self, *chars_to_remove) -> None:
         if chars_to_remove:
             escaped_chars = ''.join(re.escape(char) for char in chars_to_remove)
@@ -176,7 +180,32 @@ def _compute_essential_stats(self):
 
     def _compute_column_stats(self, column_name: str) -> None:
         data = self._df[column_name].dropna()
-        
+        # {
+        #             'mean': data.mean(),
+        #             'median': data.median(),
+        #             'mode': data.mode().iloc[0] if not data.mode().empty else np.nan,
+                    
+        #             'std': data.std(),
+        #             'variance': data.var(),
+        #             'range': data.max() - data.min(),
+        #             'iqr': data.quantile(0.75) - data.quantile(0.25),
+        #             'mad': (data - data.median()).abs().median(),
+                    
+        #             'skewness': data.skew(),
+        #             'kurtosis': data.kurtosis(),
+                    
+        #             'count': len(data),
+        #             'missing_count': self._df[col].isna().sum(),
+        #             'missing_pct': self._df[col].isna().mean(),
+                    
+        #             'min': data.min(),
+        #             'max': data.max(),
+        #             'q1': data.quantile(0.25),
+        #             'q3': data.quantile(0.75),
+                    
+        #             'cv': data.std() / data.mean() if data.mean() != 0 else np.inf,
+        #             'sem': data.std() / np.sqrt(len(data))
+        #         }
         self._df[column_name] = {
             'mean': data.mean(),
             'std': data.std(),
diff --git a/src/mindhunter/statistics/__init__.py b/src/mindhunter/statistics/__init__.py
index 4e87426..740d62e 100644
--- a/src/mindhunter/statistics/__init__.py
+++ b/src/mindhunter/statistics/__init__.py
@@ -1,4 +1,4 @@
 from .distributions import DistributionAnalyzer
-from .hypothesis_tests import HypothesisTester
+from .hypothesis import HypothesisAnalyzer
 
-__all__ = ['DistributionAnalyzer', 'HypothesisTester']
\ No newline at end of file
+__all__ = ['DistributionAnalyzer', 'HypothesisAnalyzer']
\ No newline at end of file
diff --git a/src/mindhunter/statistics/distributions.py b/src/mindhunter/statistics/distributions.py
index 64846ae..b4d541f 100644
--- a/src/mindhunter/statistics/distributions.py
+++ b/src/mindhunter/statistics/distributions.py
@@ -1,9 +1,9 @@
-from ..core.analyzer import DataAnalyzer
+from ..mindhunter import StatFrame
 import numpy as np
 
 class DistributionAnalyzer:
-    def __init__(self, analyzer: DataAnalyzer) -> None:
-        self.da = analyzer
+    def __init__(self, sf: StatFrame) -> None:
+        self.da = sf
     
     def check_basic_normality(self, data):
         mean_val = np.mean(data)
diff --git a/src/mindhunter/statistics/hypothesis_tests.py b/src/mindhunter/statistics/hypothesis.py
similarity index 93%
rename from src/mindhunter/statistics/hypothesis_tests.py
rename to src/mindhunter/statistics/hypothesis.py
index 5730e83..81b2796 100644
--- a/src/mindhunter/statistics/hypothesis_tests.py
+++ b/src/mindhunter/statistics/hypothesis.py
@@ -1,5 +1,5 @@
-from ..core.analyzer import DataAnalyzer
-from ..utils.toolkit import AnalysisToolkit
+from ..mindhunter import StatFrame
+from ..utils.toolkit import AnalyticalTools
 from typing import Literal
 from scipy import stats
 import scipy as sp
@@ -7,10 +7,10 @@
 import numpy as np
 
 
-class HypothesisTester:
-    def __init__(self, analyzer: DataAnalyzer):
-        self.da = analyzer
-        self.tools = AnalysisToolkit(analyzer)
+class HypothesisAnalyzer:
+    def __init__(self, sf: StatFrame):
+        self.da = sf
+        self.tools = AnalyticalTools(sf)
     
     def hypothesis_test(self, 
                         column: str,
diff --git a/src/mindhunter/utils/__init__.py b/src/mindhunter/utils/__init__.py
index 166774b..3d0df03 100644
--- a/src/mindhunter/utils/__init__.py
+++ b/src/mindhunter/utils/__init__.py
@@ -1,3 +1,3 @@
-from .toolkit import AnalysisToolkit
+from .toolkit import AnalyticalTools
 
-__all__ = ['AnalysisToolkit']
\ No newline at end of file
+__all__ = ['AnalyticalTools']
\ No newline at end of file
diff --git a/src/mindhunter/utils/toolkit.py b/src/mindhunter/utils/toolkit.py
index 853b53b..5a55228 100644
--- a/src/mindhunter/utils/toolkit.py
+++ b/src/mindhunter/utils/toolkit.py
@@ -1,4 +1,4 @@
-from ..core.analyzer import DataAnalyzer
+from ..mindhunter import StatFrame
 from typing import Literal
 from scipy import stats 
 from scipy.stats import norm
@@ -8,9 +8,9 @@
 import pandas as pd
 import numpy as np
 
-class AnalysisToolkit:
-    def __init__(self, analyzer: DataAnalyzer):
-        self.da = analyzer
+class AnalyticalTools:
+    def __init__(self, sf: StatFrame):
+        self.da = sf
     
     def z_to_p_value(self,
                       z: float,
diff --git a/src/mindhunter/visualization/__init__.py b/src/mindhunter/visualization/__init__.py
index f1f0805..9502707 100644
--- a/src/mindhunter/visualization/__init__.py
+++ b/src/mindhunter/visualization/__init__.py
@@ -1,4 +1,4 @@
-from .stat_plotter import StatisticalPlotter
-from .plotter import Visualizer
+from .stat_plotter import StatPlotter
+from .visualizer import StatVisualizer
 
-__all__ = ['StatisticalPlotter', 'Visualizer']
\ No newline at end of file
+__all__ = ['StatPlotter', 'StatVisualizer']
\ No newline at end of file
diff --git a/src/mindhunter/visualization/stat_plotter.py b/src/mindhunter/visualization/stat_plotter.py
index afd84e0..1e908c4 100644
--- a/src/mindhunter/visualization/stat_plotter.py
+++ b/src/mindhunter/visualization/stat_plotter.py
@@ -1,4 +1,4 @@
-from ..core.analyzer import DataAnalyzer
+from ..mindhunter import StatFrame
 import matplotlib.pyplot as plt
 import seaborn as sns
 import numpy as np
@@ -6,9 +6,9 @@
 from scipy import stats
 import scipy as sp
 
-class StatisticalPlotter:
-    def __init__(self, analyzer: DataAnalyzer):
-        self.da = analyzer
+class StatPlotter:
+    def __init__(self, sf: StatFrame):
+        self.da = sf
     
     def plot_z_scores(self, *columns: str) -> None:
         if not columns:
diff --git a/src/mindhunter/visualization/plotter.py b/src/mindhunter/visualization/visualizer.py
similarity index 88%
rename from src/mindhunter/visualization/plotter.py
rename to src/mindhunter/visualization/visualizer.py
index 92283ab..0d2cbd9 100644
--- a/src/mindhunter/visualization/plotter.py
+++ b/src/mindhunter/visualization/visualizer.py
@@ -1,4 +1,4 @@
-from ..core.analyzer import DataAnalyzer
+from ..mindhunter import StatFrame
 from typing import List
 import matplotlib.pyplot as plt 
 import seaborn as sns
@@ -6,9 +6,9 @@
 import numpy as np
 from scipy import stats
 
-class Visualizer:
-    def __init__(self, analyzer: DataAnalyzer):
-        self.da = analyzer
+class StatVisualizer:
+    def __init__(self, sf: StatFrame):
+        self.da = sf
     
     def create_scatterplot(self, columns: List[str]) -> None:
         for i in range(len(columns)):
diff --git a/tests/test_dataframe_creation.py b/tests/test_dataframe_creation.py
index 35cb910..96a1d5b 100644
--- a/tests/test_dataframe_creation.py
+++ b/tests/test_dataframe_creation.py
@@ -1,4 +1,4 @@
-from mindhunter.core import DataAnalyzer
+from mindhunter import StatFrame
 from faker import Faker
 
 import os
@@ -35,7 +35,7 @@ def sample_analyzer():
         'category': fake.random_elements(elements=['A', 'B', 'C'], length=size)
     })
     
-    return DataAnalyzer(test_df)
+    return StatFrame(test_df)
 
 
 def test_cache_not_none(sample_analyzer):
@@ -47,7 +47,7 @@ def test_cache_not_none(sample_analyzer):
     assert sample_analyzer._cached_stats is not None
 
 @pytest.mark.large
-def test_heavy_computation(sample_analyzer: DataAnalyzer):
+def test_heavy_computation(sample_analyzer: StatFrame):
     """
     
     Skipped in CI - only runs locally.
@@ -74,7 +74,7 @@ def test_heavy_computation(sample_analyzer: DataAnalyzer):
     df = pd.DataFrame(data)
     assert df is not None
 
-    da = DataAnalyzer(df)
+    da = StatFrame(df)
     assert da is not None
  
     result = sample_analyzer._cached_stats
diff --git a/uv.lock b/uv.lock
index b49459a..98392ea 100644
--- a/uv.lock
+++ b/uv.lock
@@ -11,6 +11,72 @@ wheels = [
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