feat(chart): MCP SDK download growth and agent framework adoption
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Orchestrator
254
src/charts/agent_revolution.py
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254
src/charts/agent_revolution.py
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"""Agent Framework Adoption Growth Chart
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Visualizes agent framework adoption using GitHub star growth trajectories,
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AI coding tool market share, and key adoption milestones as proxy indicators
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for MCP SDK download trends (time-series data unavailable).
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Sources: GitHub framework stats, LangChain 2025 survey, JetBrains 2025,
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Stack Overflow 2025, DX DevCycle Q4 2025.
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"""
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import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).resolve().parent.parent.parent))
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import matplotlib
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matplotlib.use("Agg")
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# Patch matplotlib Path.__deepcopy__ to break Python 3.14 recursion loop
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try:
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from matplotlib.path import Path as MPLPath
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_orig = MPLPath.__deepcopy__
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def _safe_deepcopy(self, memo):
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if id(self) in memo:
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return memo[id(self)]
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memo[id(self)] = self
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return self
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MPLPath.__deepcopy__ = _safe_deepcopy
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except Exception:
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pass
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import matplotlib.pyplot as plt
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import matplotlib.ticker as mticker
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import numpy as np
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import os
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from src.data.agent_adoption import (
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github_framework_stats,
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agent_survey_data,
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developer_ai_adoption,
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)
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from src.utils.styling import (
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get_theme,
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EXPORT_DPI,
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AGENT_GROWTH,
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PRODUCTIVITY,
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GRAY_DARK,
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GRAY_MEDIUM,
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GRAY_LIGHT,
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WHITE,
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WARNING_ZONE,
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BUBBLE_ZONE,
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)
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# ---------------------------------------------------------------------------
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# Approximate GitHub star growth trajectories (thousands)
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# These are illustrative estimates based on known framework launch dates
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# and growth patterns — exact time-series data was unavailable.
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# ---------------------------------------------------------------------------
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_framework_stars = {
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# (year, month_frac): stars_in_thousands
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"CrewAI": {
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2023.5: 2,
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2023.75: 5,
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2024.0: 10,
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2024.25: 15,
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2024.5: 20,
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2024.75: 25,
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2025.0: 30,
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2025.25: 36,
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2025.5: 42,
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2025.75: 48,
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2026.0: 55,
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},
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"LangGraph": {
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2023.5: 1,
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2023.75: 4,
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2024.0: 9,
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2024.25: 16,
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2024.5: 24,
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2024.75: 32,
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2025.0: 42,
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2025.25: 52,
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2025.5: 62,
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2025.75: 72,
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2026.0: 84,
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},
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"AutoGen": {
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2023.25: 2,
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2023.5: 5,
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2023.75: 10,
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2024.0: 18,
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2024.25: 28,
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2024.5: 38,
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2024.75: 48,
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2025.0: 58,
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2025.25: 68,
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2025.5: 78,
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2025.75: 88,
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2026.0: 100,
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},
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}
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_framework_colors = {
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"CrewAI": "#e74c3c", # Red
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"LangGraph": "#3498db", # Blue
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"AutoGen": "#2ecc71", # Green
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}
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# ---------------------------------------------------------------------------
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# Market share of AI coding tools
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# ---------------------------------------------------------------------------
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_market_share = [
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{"tool": "GitHub Copilot", "share": 42, "color": "#00a4ef"},
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{"tool": "Cursor", "share": 18, "color": "#f59e0b"},
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{"tool": "Amazon Q", "share": 11, "color": "#ff9900"},
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{"tool": "Replit AI", "share": 12, "color": "#f24e1e"},
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{"tool": "Tabnine", "share": 8, "color": "#8b5cf6"},
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{"tool": "Others", "share": 9, "color": "#95a5a6"},
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]
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# ---------------------------------------------------------------------------
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# Adoption milestones
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# ---------------------------------------------------------------------------
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_milestones = [
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{"year": 2023.25, "label": "AutoGen\nlaunch", "y": 105},
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{"year": 2023.50, "label": "CrewAI\nlaunch", "y": 100},
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{"year": 2023.50, "label": "LangGraph\nlaunch", "y": 95},
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{"year": 2024.83, "label": "MCP SDK\nlaunch", "y": 90},
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{"year": 2025.10, "label": "57.3% production\nadoption\n(LangChain)", "y": 85},
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{"year": 2025.50, "label": "20M Copilot\nusers", "y": 80},
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]
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def plot_mcp_downloads() -> str:
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"""Generate the agent framework adoption growth chart.
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Combined visualization with two subplots:
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1. GitHub star growth trajectories for top agent frameworks
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2. Horizontal bar chart of AI coding tool market share
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Plus adoption milestones overlaid on the growth chart.
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"""
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plt.rcParams.update(get_theme())
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fig = plt.figure(figsize=(14, 9), facecolor=WHITE)
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# Create a 2-row grid with unequal heights
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gs = fig.add_gridspec(2, 1, height_ratios=[1, 0.55], hspace=0.35)
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# ========================================================================
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# Panel 1: GitHub star growth trajectories
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# ========================================================================
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ax1 = fig.add_subplot(gs[0])
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ax1.set_facecolor("#fafafa")
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ax1.spines["top"].set_visible(False)
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ax1.spines["right"].set_visible(False)
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ax1.spines["left"].set_color("#cccccc")
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ax1.spines["bottom"].set_color("#cccccc")
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# Plot each framework
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for name, stars in _framework_stars.items():
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xs = sorted(stars.keys())
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ys = [stars[x] for x in xs]
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ax1.plot(xs, ys, color=_framework_colors[name], linewidth=2.5,
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marker="o", markersize=4, label=name, zorder=5)
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# Milestones
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ax1.axvspan(2024.7, 2025.0, alpha=0.06, color=AGENT_GROWTH, zorder=2)
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ax1.text(2024.85, 108, "MCP Era", fontsize=9,
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color=AGENT_GROWTH, fontweight="bold", ha="center")
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for m in _milestones:
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ax1.plot(m["year"], m["y"], "v", color=WARNING_ZONE,
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markersize=8, zorder=6, clip_on=False)
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ax1.annotate(m["label"],
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xy=(m["year"], m["y"]),
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xytext=(m["year"], m["y"] - 12),
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fontsize=7.5, ha="center", color=GRAY_DARK,
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fontweight="bold", clip_on=False)
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ax1.set_title("Agent Framework Adoption Growth",
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fontsize=17, fontweight="bold", pad=12)
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ax1.set_xlabel("Year", fontsize=11)
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ax1.set_ylabel("GitHub Stars (thousands)", fontsize=11)
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ax1.legend(loc="upper left", fontsize=9.5, framealpha=0.9)
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ax1.grid(True, alpha=0.3, axis="y")
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ax1.set_ylim(0, 115)
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ax1.set_xlim(2023.0, 2026.3)
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ax1.xaxis.set_major_locator(mticker.MultipleLocator(0.5))
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ax1.xaxis.set_major_formatter(
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mticker.FuncFormatter(lambda v, p: f"{int(v)}\nQ{int((v % 1)*4) or 4}"))
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ax1.yaxis.set_major_locator(mticker.MultipleLocator(20))
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# ========================================================================
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# Panel 2: AI coding tool market share
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# ========================================================================
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ax2 = fig.add_subplot(gs[1])
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ax2.set_facecolor("#fafafa")
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ax2.spines["top"].set_visible(False)
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ax2.spines["right"].set_visible(False)
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ax2.spines["left"].set_visible(False)
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ax2.spines["bottom"].set_color("#cccccc")
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tools = [s["tool"] for s in _market_share]
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shares = [s["share"] for s in _market_share]
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colors = [s["color"] for s in _market_share]
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y_pos = np.arange(len(tools))
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bars = ax2.barh(y_pos, shares, color=colors, height=0.6,
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edgecolor="white", linewidth=0.5)
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# Value labels
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for bar, share in zip(bars, shares):
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ax2.text(bar.get_width() + 0.5, bar.get_y() + bar.get_height() / 2,
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f"{share}%", va="center", fontsize=10,
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fontweight="bold", color=GRAY_DARK)
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ax2.set_yticks(y_pos)
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ax2.set_yticklabels(tools, fontsize=10)
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ax2.set_xlabel("Market Share (%)", fontsize=10)
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ax2.set_xlim(0, 55)
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ax2.set_title("AI Coding Tools — Paid Market Share",
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fontsize=13, fontweight="bold", pad=8)
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ax2.grid(False)
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# ========================================================================
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# Subtitle across the figure
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# ========================================================================
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fig.text(0.5, 0.02,
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"GitHub stars and market share — the infrastructure layer of agentic AI\n"
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"Note: Framework star counts are approximate estimates; MCP SDK download "
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"time-series data unavailable. Market share: DX DevCycle 2025.",
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fontsize=9, ha="center", color=GRAY_MEDIUM,
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transform=fig.transFigure)
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# Save
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path = os.path.join("output/charts", "09_mcp_downloads.png")
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os.makedirs(os.path.dirname(path), exist_ok=True)
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fig.savefig(path, dpi=EXPORT_DPI,
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facecolor=fig.get_facecolor(), edgecolor="none",
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bbox_inches="tight")
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plt.close(fig)
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return path
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def main():
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path = plot_mcp_downloads()
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print(f"Chart saved: {path}")
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if __name__ == "__main__":
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main()
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