Library portrait
A clean summary card based on the current filter.
Drop your Goodreads CSV here
or click anywhere in this box to choose it
Nothing below appears until a file is loaded.
Filter this library
Tip: click bars, points, or slices in many charts to filter the whole report. Click the same selection again to remove it.
Your library
The counts here use the current filter. Blank fields stay blank. Goodreads exports a rating of 0 for unrated books; this tool treats 0 as missing, not as a zero-star rating.
Import report
What the parser recognized, plus missing-value counts for fields used in the report.
Possible duplicate records
Repeated Book IDs and repeated title + author pairs. This is diagnostic; nothing is deleted unless you change the duplicate setting above.
Data quality
A few checks that can change how much confidence to put in a chart.
Shelf status
Goodreads' exclusive shelf field: read, to-read, currently-reading, and anything else in the export.
How complete is the data?
Coverage of the fields that power most of the analysis. Missing data is common in Goodreads exports.
Compare two slices
Compare two date ranges or two saved views. The same definitions and missing-value rules are used on both sides, so the deltas mean something.
A
B
Quick setup
Uses the midpoint of the available read years.
Run it
Date-range comparisons keep the current non-date filters.
Change table
A, B, and the difference. Percentage changes are omitted where the starting value is zero.
Reading volume
Books and pages, with pages shown in thousands so both measures fit on one chart.
Habits that moved
New-author rate, review rate, reread-title share, and repeat-author share.
Top shelves in each slice
The five most common custom shelves on each side.
Reading pace
Finished dates drive these charts. Books without a Date Read are left out instead of being assigned to Date Added or guessed into a year.
Books finished by year
One book counts once, using Date Read.
Pages finished by year
Only books with both Date Read and Number of Pages are counted.
Finishes by month
All years combined. Useful for spotting seasonal reading habits without pretending January 2022 and January 2026 were the same year.
Finish day of week
This is the weekday attached to Date Read. Goodreads does not tell us what hour the book was finished.
Reading calendar
Books finished by calendar day. Darker squares mean more finishes on that date. Pick a year with the report filters if the full history gets dense.
Rolling 90-day pace
At each month end, this counts books finished during the previous 90 days.
Rating by finish month
Average personal rating for books with both a rating and Date Read.
Year by month
Each cell is a finish count for that calendar month. Darker cells had more finishes within the current view.
Ratings
Your ratings and Goodreads' Average Rating can disagree in useful ways. The scatterplot keeps every rated book as a point; the tables call out the largest gaps.
Your rating distribution
Unrated books are excluded.
Average rating by read year
A year needs at least two rated books to appear.
You vs. Goodreads
Each point is a book. The diagonal line is exact agreement.
Rating gap distribution
Your rating minus Goodreads' average. Positive means you liked it more than the crowd.
Largest disagreements
Sorted by absolute difference between your rating and Goodreads' average rating.
What your stars mean in practice
Count, share of rated books, and cumulative percentile for each rating.
Rating mix by year
Share of rated books in four bands. Years with fewer than three ratings are omitted.
Consensus quadrants
The lines at 3.5 divide higher and lower ratings. This is a plain four-way split, not a claim about objective quality.
Consensus quadrant ledger
Counts and the strongest disagreement inside each quadrant.
Publication history
Original Publication Year is used when available. Negative years are kept as BCE values instead of being handed to JavaScript's Date object and mangled into something ridiculous.
Books by original publication period
Modern books use decades. Older material is grouped into wider buckets so a handful of ancient works do not flatten the chart.
How old were the books when you read them?
Book age is estimated from read year minus original publication year.
Publication year vs. read year
A point far to the left is an older work read recently. BCE books use negative x-values.
Oldest works in this view
Original publication year, not the edition year.
Book-age cohorts
Same-year books through 1,000+ year-old works, based on age when read.
Age-cohort ledger
Book count, average rating, and median page count by age at reading.
Length
Page counts come straight from the export. Missing page counts stay missing. No heroic attempt is made to infer Kindle pages from vibes.
Page-count distribution
Buckets widen after 600 pages so long books remain visible without owning the x-axis.
Length vs. your rating
Only books with a page count and your rating appear.
Longest books
The big ones. At least according to the page count Goodreads exported.
Your own length thresholds
Percentiles come from page counts in the current view. No universal definition of a "long book" is imposed.
Authors
Primary authors drive the charts. Additional Authors are still counted in the library summary, but they do not quietly inflate every author ranking.
Most-read primary authors
Number of books in the current view.
Average rating by repeat author
Authors need at least three rated books in this view.
New authors vs. return visits
For each read year, a primary author is "new" if no earlier dated book in the export has that author.
Author ledger
Books, rated books, average rating, pages, and first/last dated read.
New authors vs. familiar authors
A book counts as familiar when its primary author had appeared in an earlier dated read.
Author concentration
Cumulative share of books as more authors are included, starting with the most-read authors.
Longest returns to an author
Largest gap between two dated reads by the same primary author.
Shelves
Your shelf names are taken literally. The tool does not try to decide that "mystery" is a genre while "summer-project" is merely a personal problem.
Most-used shelves
Custom shelves only. Exclusive status shelves are omitted here.
Average rating by shelf
Shelves need at least five rated books to appear.
Shelf pairs
Pairs that appear together on the same books most often.
Shelf ledger
Book count, rated count, average rating, and pages for each shelf.
Shelf relationship map
Top shelves are placed around a circle. Thicker lines mean more books carry both shelf labels.
Shelf co-occurrence matrix
Shared-book counts among the ten most-used shelves.
Shelf cleanup candidates
Near-matching names and shelf pairs with very high membership overlap. These are suggestions to inspect, not automatic merges.
Backlog
Date Added and Date Read let us measure the wait between shelving a book and finishing it. For unread books, the waiting clock runs through today.
Time from added to read
Negative intervals, usually caused by odd historical imports, are ignored.
Age of unread additions
Books on to-read or otherwise not marked read, when a Date Added exists.
Oldest unread additions
The books that have been waiting longest.
Longest waits before reading
Read books sorted by elapsed time between Date Added and Date Read.
Added vs. finished by year
Date Added and Date Read are counted independently. A year where additions outrun finishes usually grows the backlog.
TBR survival curve
Kaplan-Meier estimate of the share still unread after a book is added. Unread books are treated as censored observations.
Added-year cohorts
For each Date Added year: books added, share eventually read, and median wait among books that were read.
Formats and publishers
Binding labels get a small amount of cleanup so trivial capitalization differences do not become separate categories. Publisher names are left alone; collapsing imprints automatically would require assumptions the CSV cannot support.
Formats
Hardcover, paperback, Kindle, ebook, audiobook, and whatever else Goodreads exported.
Most common publishers
Exact publisher strings from the export.
Publisher ledger
Publishers with at least two books rise to the top; singletons still remain in the table.
Reviews and rereads
Review word counts are calculated after HTML tags are stripped. Read Count is used for rereads; the export does not contain a separate date for each individual read.
Review length by rating
Average review word count for reviewed books at each star rating.
Read-count distribution
How many books were read once, twice, three times, and so on.
Longest reviews
Word count only. The review text itself stays out of this table.
Most reread books
Sorted by Read Count, then title.
Words that recur in your reviews
Common English stopwords are removed. Size reflects frequency; this is descriptive word counting, not sentiment analysis.
Review vocabulary
Most common content words and adjacent two-word phrases.
Review-writing habits
Deterministic counts: words, vocabulary, and punctuation. No attempt is made to guess mood or personality.
Ratings of reread vs. once-read titles
Uses exported Read Count. Goodreads does not give a separate rating for each read.
Reread profile by shelf
Shelves with at least two reread titles rise to the top.
Record book
The extremes are recalculated for the current view. A record is only shown when the fields needed to calculate it are present.
Extremes ledger
A table version of the records, with the book or period that holds each one.
About This Tool
Your Goodreads library has a lot more to say than the number of books on your Read shelf. Upload your Goodreads library export and this free analysis tool turns years of reading history into charts, tables, comparisons, records, and statistics you can actually explore.
See how your reading pace has changed, which authors keep pulling you back, how your ratings compare with the Goodreads average, what eras you read most, how long books sit on your to-read shelf, and which months or years were unusually busy. Filters let you zero in on one slice of the library, while the comparison tools make it easy to put two periods of your reading life side by side.
When you find something worth keeping, download individual charts or build a shareable Goodreads library report from your favorite findings. There is plenty here for a quick annual reading recap, and enough depth for the person who would happily spend an hour investigating exactly how strange their bookshelf has become.