Turn inconsistent invoice dates into a usable cash schedule, or turn everyday language into reporting and planning dates. Try the live examples below, including a request from the CFO’s inbox, to see where dately fits in finance.
Invoice datesCash forecastsReporting calendars
LIVE FINANCE / FP&A EXAMPLE
From mixed dates to a collection schedule.
Review four sample invoices. dately resolves the dates; the surrounding Python adds payment terms and groups expected receipts for a cash forecast.
01 Source values→02 Actual Python package→03 Cash-planning output
DATELY / FINANCE DATA REVIEWCONNECTING TO PYTHON
THE FINANCE-READY REVIEW
Preparing the live Python example…
ACTUAL PACKAGE OUTPUT + FIELD VALIDATION
Invoice
Invoice date → cash date
Review
What I built: dately parses dates and date expressions. Finance application: this Python demo validates individual invoice dates, adds calendar-day terms and groups the resulting cash dates. Ambiguous dates and ranges are held for review.
See the Python calls behind this example +
Waiting for Python…
NATURAL LANGUAGE / FINANCE & FP&A
Say the period. Get the planning dates.
Turn everyday instructions into a reporting cutoff, a close-review date or a set of weekly cash-forecast windows. Choose an example or type your own expression. Every result comes from the actual dately Python package.
01 Everyday language→02 dately.parse()→03 Usable dates & periods
import dately
dately.parse("last day of this month")
REFERENCE DATE / PYTHON SERVER CLOCKReading the Python server clock…
Relative expressions use this date, independently of the invoice demo’s planning date. Calendar weeks run Sunday–Saturday. Business-day and holiday adjustments require separate logic.
What I built: dately recognizes natural-language date expressions and returns Python dates, ranges or collections. Finance application: those dates can feed reporting filters, close calendars and forecast buckets. The calendar and planning explanations display the package output; they do not change its dates.
SEE NATURAL LANGUAGE AT WORK / A REQUEST FROM THE CFO
Watch an email become planning dates.
Read the CFO’s message, then run it through dately. Watch the phrases light up and become usable dates beside the email. Change the sample or edit the wording to try it yourself.
01 Read the email
02 Run dately
03 See the planning dates
DATELY / EMAIL TO PLANNING DATESREADY TO RUN
INBOX / FINANCEFICTIONAL SAMPLE
Forecast review & cash outlook
AM
Alexandra MorganChief Financial Officer · Northstar Group
SAMPLE EMAIL
From
Alexandra Morgan <alexandra.morgan@northstar.example>
To
C.J. Moore · FP&A <fpanda@northstar.example>
Subject
Forecast review & cash outlook
Hi C.J.,
Please send the revised forecast next Friday. Schedule our review for the first Monday of next month, and include a cash outlook covering the next 4 weeks.
Thanks,
Alexandra
Alexandra MorganChief Financial OfficerNorthstar Group
Resolved date phrase Needs clarification
Edit the sample message +
THE PLANNING HANDOFF
Ready when you are.
BEFORE DATELY
An email with dates hidden in the wording.
Choose “Run this email through dately” to watch the message turn into dates and reporting windows. Nothing has been processed yet.
REFERENCE DATE / PYTHON SERVER CLOCK
Relative phrases use the current server date. Business-day and holiday adjustments require separate logic.
ALL RESOLVED PHRASES / CALENDAR
SMTWTFS
What I built: dately turns supported date expressions into Python dates and ranges. This finance demo adds: rule-based phrase detection, email highlights and a planning calendar. Each run sends the current message to Python; the step-by-step reveal shows the actual returned results. Vague wording such as “next few days” is held for clarification.