Returns
pd.DataFrame with star count data.
Documentation Index
Fetch the complete documentation index at: /docs/llms.txt
Use this file to discover all available pages before exploring further.
Download crowd-sourced star/interest counts
client.star_counts() -> pd.DataFrame
pd.DataFrame with star count data.
from jmail import JmailClient
client = JmailClient()
stars = client.star_counts()
# Stars by entity type
print(stars.groupby("entity_type")["count"].sum().sort_values(ascending=False))
# Most starred emails
email_stars = stars[stars.entity_type == "email_message"]
top = email_stars.sort_values("count", ascending=False).head(20)
| Column | Type | Description |
|---|---|---|
entity_type | string | Entity type (email_message, email_thread, photo, document, imessage) |
entity_id | int | Entity ID (FK to corresponding table) |
count | int | Number of stars |
https://data.jmail.world/v1/star_counts.parquet
https://data.jmail.world/v1/star_counts.ndjson.gz
