Python Ecosystem Telemetry Index
Empirical GitHub telemetry across Python AI/ML and developer repositories: daily trending velocity floors (70-125 stars/day), fork ratios, and StarScout checks.
Indexed Open-Source Repositories (575)
1,111
|
254 (22.9%)
|
45
1,096
|
88 (8.0%)
|
44
1,089
|
88 (8.1%)
|
44
1,058
|
85 (8.0%)
|
43
1,034
|
83 (8.0%)
|
1034
1,002
|
86 (8.6%)
|
41
990
|
80 (8.1%)
|
42
937
|
75 (8.0%)
|
38
900
|
72 (8.0%)
|
49
890
|
72 (8.1%)
|
40
889
|
72 (8.1%)
|
36
871
|
86 (9.9%)
|
35
870
|
70 (8.0%)
|
35
857
|
89 (10.4%)
|
35
849
|
68 (8.0%)
|
34
847
|
133 (15.7%)
|
34
845
|
68 (8.0%)
|
39
810
|
65 (8.0%)
|
48
808
|
763 (94.4%)
|
33
jiyuanwang-afk/Explainable-AI-in-Financial-Fraud-and-Anomaly-Detection
Python
devtools
VIABLE (250+)
788
|
64 (8.1%)
|
35
773
|
66 (8.5%)
|
773
761
|
184 (24.2%)
|
91
736
|
59 (8.0%)
|
30
733
|
83 (11.3%)
|
30
731
|
59 (8.1%)
|
731
724
|
58 (8.0%)
|
29
686
|
55 (8.0%)
|
28
656
|
53 (8.1%)
|
27
654
|
53 (8.1%)
|
27
646
|
96 (14.9%)
|
76
637
|
67 (10.5%)
|
34
624
|
50 (8.0%)
|
25
610
|
76 (12.5%)
|
25
610
|
57 (9.3%)
|
25
602
|
49 (8.1%)
|
25
572
|
54 (9.4%)
|
23
569
|
46 (8.1%)
|
23
566
|
109 (19.3%)
|
24
561
|
45 (8.0%)
|
23
560
|
61 (10.9%)
|
23
553
|
189 (34.2%)
|
23
544
|
44 (8.1%)
|
22
539
|
59 (10.9%)
|
22
534
|
43 (8.1%)
|
534
529
|
78 (14.7%)
|
22
522
|
55 (10.5%)
|
21
514
|
63 (12.3%)
|
35
501
|
98 (19.6%)
|
21
501
|
41 (8.2%)
|
21
497
|
48 (9.7%)
|
20
493
|
40 (8.1%)
|
493
493
|
57 (11.6%)
|
20
486
|
57 (11.7%)
|
20
479
|
39 (8.1%)
|
479
476
|
39 (8.2%)
|
23
470
|
38 (8.1%)
|
19
469
|
38 (8.1%)
|
469
461
|
37 (8.0%)
|
19
456
|
48 (10.5%)
|
27
452
|
38 (8.4%)
|
26