diff --git a/pages/6_🤖_Github_Analysis.py b/pages/6_🤖_Github_Analysis.py
deleted file mode 100644
index e7d058e..0000000
--- a/pages/6_🤖_Github_Analysis.py
+++ /dev/null
@@ -1,76 +0,0 @@
-import re
-import streamlit as st
-import plotly.express as px
-
-from github import Github
-import pandas as pd
-import CONFIG
-
-
-
-
-@st.cache(suppress_st_warning=True, allow_output_mutation=True)
-def get_all_issues_df():
-    g = Github()
-    repo = g.get_repo("hummingbot/hummingbot")
-    open_issues = repo.get_issues(state='open')
-    processed_issues = []
-    priority_values = ["P1", "P2", "P3"]
-
-    for issue in open_issues:
-        priority = None
-        bug = False
-        labels = [label.name for label in issue.labels]
-        for label in labels:
-            if label in priority_values:
-                priority = label
-            if label == "bug":
-                bug = True
-
-        processed_issues.append({
-            "title": issue.title,
-            "number": issue.number,
-            "labels": [label for label in labels if label not in priority_values + ["bug"]],
-            "created_at": issue.created_at,
-            "priority": priority,
-            "is_bug": bug,
-            "url": issue.url
-        })
-
-    df = pd.DataFrame(processed_issues)
-    return df[df["url"].str.contains("issues")]
-
-
-st.set_page_config(layout='wide')
-st.title("🤖 GitHub Analysis")
-
-with st.spinner(text='In progress'):
-    issues_df = get_all_issues_df()
-
-st.write("### Exchanges Filter 🦅")
-exchanges_filter = st.multiselect(
-    "Select the exchanges to filter:",
-    options=CONFIG.CERTIFIED_EXCHANGES,
-    default=CONFIG.CERTIFIED_EXCHANGES)
-exchanges_issues = issues_df[issues_df['title'].str.contains("|".join(exchanges_filter), regex=True, case=False)]
-st.dataframe(exchanges_issues)
-issues_by_exchange = {}
-for exchange in exchanges_filter:
-    issues_by_exchange[exchange] = exchanges_issues.title.str.count(exchange, flags=re.IGNORECASE).sum()
-fig = px.bar(pd.Series(issues_by_exchange), orientation='h')
-
-st.plotly_chart(fig)
-
-st.write("### Strategies Filter 🦅")
-strategies_filter = st.multiselect(
-    "Select the strategies to filter:",
-    options=CONFIG.CERTIFIED_STRATEGIES,
-    default=CONFIG.CERTIFIED_STRATEGIES)
-strategies_issues = issues_df[issues_df['title'].str.contains("|".join(strategies_filter), regex=True, case=False)]
-st.dataframe(strategies_issues)
-issues_by_strategy = {}
-for strategy in strategies_filter:
-    issues_by_strategy[strategy] = exchanges_issues.title.str.count(exchange, flags=re.IGNORECASE).sum()
-fig = px.bar(pd.Series(issues_by_strategy), orientation='h')
-
-st.plotly_chart(fig)