Quicklisp statistics are now available as CSV files, and the Quicklisp Stats system that I've just submitted to Quicklisp is a little helper library for handling this dataset and accessing it from inside Lisp.

Examples:

;;; How many times was Alexandria downloaded in Nov 2020?
QUICKLISP-STATS> (system-downloads :alexandria 2020 11)
13731

;;; Get all systems that were downloaded
;;; more than 10000 times in Nov 2020
;;; and print them somewhat nicely
QUICKLISP-STATS> (loop with stats = (month 2020 4)
                       with filtered-stats
                         = (remove-if-not (lambda (x) (< 10000 (cdr x))) stats)
                       for (system . count) in filtered-stats 
                       do (format t ";; ~20A : ~5D~%" system count))
;; alexandria           : 19938
;; cl-ppcre             : 15636
;; bordeaux-threads     : 14974
;; trivial-features     : 14569
;; split-sequence       : 14510
;; closer-mop           : 14482
;; trivial-gray-streams : 14259
;; babel                : 14254
;; cffi                 : 12365
;; flexi-streams        : 11940
;; iterate              : 11924
;; named-readtables     : 11205
;; cl-fad               : 10996
;; usocket              : 10859
;; anaphora             : 10783
;; trivial-backtrace    : 10693
NIL

;;; How many downloads did Bordeaux Threads 
;;; have over all of 2020?
QUICKLISP-STATS> (loop for ((year month) . data) in (all)
                       for result = (a:assoc-value data "bordeaux-threads"
                                                   :test #'equal)
                       do (format t ";; ~4,'0D-~2,'0D: ~D~%" year month result))
;; 2020-01: 16059
;; 2020-02: 12701
;; 2020-03: 17123
;; 2020-04: 14974
;; 2020-05: 14489
;; 2020-06: 13851
;; 2020-07: 14130
;; 2020-08: 10843
;; 2020-09: 13757
;; 2020-10: 13444
;; 2020-11: 15825
NIL