all_commits

def all_commits(repo: Optional[str] = None) -> list[str]

import dvc.api

commits = dvc.api.all_commits()
print(f"Found {len(commits)} commits")
print(f"Latest commit: {commits[0][:7]}")

import dvc.api
import pandas as pd

commits = dvc.api.all_commits()

results = []
for commit in commits[:10]:  # Last 10 commits
    try:
        metrics = dvc.api.metrics_show(rev=commit)
        results.append({
            'commit': commit[:7],
            'accuracy': metrics.get('metrics.json', {}).get('accuracy')
        })
    except Exception:
        continue

df = pd.DataFrame(results)
print(df)

import dvc.api

repo_url = "https://github.com/example/ml-project"
commits = dvc.api.all_commits(repo=repo_url)

# Check last 5 commits
for commit in commits[:5]:
    print(f"\nCommit: {commit[:7]}")
    
    try:
        params = dvc.api.params_show(repo=repo_url, rev=commit)
        print(f"  Learning rate: {params.get('train', {}).get('lr')}")
    except Exception as e:
        print(f"  Error: {e}")

import dvc.api
from datetime import datetime

commits = dvc.api.all_commits()

print(f"Repository has {len(commits)} commits")
print(f"\nRecent commits:")

for commit in commits[:20]:
    try:
        metrics = dvc.api.metrics_show(rev=commit)
        if 'metrics.json' in metrics:
            acc = metrics['metrics.json'].get('accuracy', 'N/A')
            print(f"  {commit[:7]}: accuracy={acc}")
    except Exception:
        pass