Mail Trends lets you analyze and visualize your email (as extracted from an IMAP server). You can see:
- Distribution of messages by year, month, day, day of week and time of day
- Distribution of messages by size and your top 40 largest messages
- The top senders, recipients and mailing lists you're on.
- Distributions of senders, recipients and mailing lists over time
- The distribution of thread lengths and the lists and people that result in the longest threads
- A Gmail or Google Apps mail account
- Python 2.5 or later
You will need Cheetah (a template system) installed. You can download it and then follow the installation instructions. If you are using an apt-based Linux distribution sudo apt-get install python-cheetah may be enough for you.
From within the mail-trends directory run the following, replacing the username and passwords as appropriate (if you omit the password in the commandline you will be (securely) prompted for it):
python main.py \
--server=imap.gmail.com \
--use_ssl \
[email protected] \
[email protected],[email protected] \
--skip_labels
You will be prompted for the password for your account (you can also use --password= to specify it as an argument. The --me argument lets you specify what emails should be considered as being sent to/from you.
The output is in HTML, placed in out/index.html. Open that in your favorite web browser.
--skip_labels does not categorize messages into labels (there are not stats that use them yet).
--filter_out=... can be used to ignore certain messages. You can use to:[email protected], from:[email protected] or list:listid.example.com to filter out by recipient, sender or list (you can have multiple filter clauses by separating them with commas).
You can pass in --record and --replay as command line arguments to respectively capture and play black message fetches from the IMAP server. This is meant to aid in development by speeding up data fetches.
--max_messages=NNNN can be used to limit the number of messages that are fetched. Normally the most recent messages are selected, use --random_subset to specify that the messages be chosen over all the messages.
--days=NNNN Fetch mail from last NNNN days. If NNNN is omitted then it defaults to all days until the Unix epoch (effectively all mail)
--date_from Fetches mail from date until the the end of the dataset. Format: %d-%b-%Y
Examples:
Fetch mail from last 10 days: --days=10 Fetch all mail between a certain date and the end of the dataset: --date_from=12-Apr-2012 Fetch all mail from a certain date until 10 days earlier: --date_from=12-Apr-2012 --day=10
Original project hosted at http://code.google.com/p/mail-trends/