Warp
Tested Software version v0.2026.05.27.15.44.stable_01 on Linux. The homepage URL of this terminal is https://github.com/warpdotdev/warp. Full results available at ucs-detect repository path data/warp.yaml.
Score Breakdown
Detailed breakdown of how scores are calculated for Warp:
# |
Score Type |
Raw Score |
Final Scaled Score |
|---|---|---|---|
1 |
99.47% |
99.3% |
|
2 |
99.93% |
99.9% |
|
3 |
0.00% |
0.0% |
|
4 |
96.08% |
96.1% |
|
5 |
100.00% |
100.0% |
|
6 |
0.00% |
(excluded) |
|
7 |
0.00% |
0.0% |
|
8 |
100.00% |
100.0% |
|
9 |
98.85% |
98.9% |
|
10 |
21.88% |
23.3% |
|
11 |
100% |
100.0% |
|
12 |
30.5% |
30.5% |
Score Comparison Plot:
The following plot shows how this terminal’s scores compare to all other terminals tested.
Scaled scores comparison across all metrics (normalized 0-100%)
Final Scaled Score Calculation:
Raw Final Score: 63.60% (weighted average: WIDE + NARROW + ZWJ + LANG + VS16 + 0.33 * SRI + 0.33 * SFZ + RI + CAP + 0.5 * GFX + 0.5 * RSC) the categorized ‘average’ absolute support level of this terminal.
Note
RSC (Resources) is a composite CPU, memory, and runtime score. RSC is weighted at 0.5 (half as powerful as other metrics). FEAT (Features) is the fraction of notable features supported. GFX (Graphics) scores 100% for modern protocols (iTerm2, Kitty), 50% for legacy only (Sixel, ReGIS), 0% for none.
Final Scaled Score: 48.6% (normalized across all terminals tested). Final Scaled scores are normalized (0-100%) relative to all terminals tested
WIDE Score Details:
Wide character support calculation:
Total successful codepoints: 43362
Total codepoints tested: 43592
Formula: 43362 / 43592
Result: 99.47%
NARROW Score Details:
Narrow character support calculation:
Total successful codepoints: 36229
Total codepoints tested: 36254
Formula: 36229 / 36254
Result: 99.93%
ZWJ Score Details:
Emoji ZWJ (Zero-Width Joiner) support calculation:
Total successful sequences: 0
Total sequences tested: 1445
Formula: 0 / 1445
Result: 0.00%
VS16 Score Details:
Variation Selector-16 support calculation:
Errors: 0 of 426 codepoints tested
Success rate: 100.0%
Formula: 100.0 / 100
Result: 100.00%
VS15 Score Details (excluded from final score):
Variation Selector-15 support calculation:
Errors: 158 of 158 codepoints tested
Success rate: 0.0%
Formula: 0.0 / 100
Result: 0.00%
SRI Score Details:
Standalone Regional Indicator support calculation:
Total successful codepoints: 0
Total codepoints tested: 26
Formula: 0 / 26
Result: 0.00%
SFZ Score Details:
Standalone Fitzpatrick skin tone modifier support calculation:
Total successful codepoints: 5
Total codepoints tested: 5
Formula: 5 / 5
Result: 100.00%
RI Score Details:
Regional Indicator flag sequence support calculation:
Total successful sequences: 259
Total sequences tested: 262
Formula: 259 / 262
Result: 98.85%
Features Score Details:
Notable terminal features (3.5 / 16):
Kitty Keyboard: yes
XTGETTCAP: no
OSC 52 Clipboard: no
Truecolor Detection: partial
Raw score: 21.88%
Graphics Score Details:
Graphics protocol support (100%):
Sixel: no
ReGIS: no
iTerm2: no
Kitty: yes
Scoring: 100% for modern (iTerm2/Kitty), 50% for legacy only (Sixel/ReGIS), 0% for none
Resource Score Details:
Duration: 303.0s
Mean CPU: 7.8%
Mean RSS: 445.5 MB
Resources Score: 30/100
Note: log-scale composite cost = log(CPU+1) + log(RSS+1) + log(time+1)
Scaled result: 30.5%
LANG Score Details (Geometric Mean):
Geometric mean calculation:
Formula: (p₁ × p₂ × … × pₙ)^(1/n) where n = 118 languages
About geometric mean
Result: 96.08%
Wide character support
Wide character support of Warp is 99.5% (230 errors of 43592 codepoints tested).
Sequence of a WIDE character, from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\U0001d323’ |
So |
2 |
TETRAGRAM FOR BOLD RESOLUTION |
Total codepoints: 1
Shell test using printf(1),
'|'should align in output:$ printf "\xf0\x9d\x8c\xa3|\\n12|\\n" 𝌣| 12|
See Line 42270 of ucs_wide.txt for this sequence in the example file.
Screenshot:
python wcwidth.wcswidth() measures width 2, while Warp measures width 1.
Narrow character support
Narrow character support of Warp is 99.9% (25 errors of 36254 codepoints tested).
Sequence of a NARROW character, from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\U000111c2’ |
Lo |
1 |
SHARADA SIGN JIHVAMULIYA |
Total codepoints: 1
Shell test using printf(1),
'|'should align in output:$ printf "\xf0\x91\x87\x82|\\n1|\\n" 𑇂| 1|
python wcwidth.wcswidth() measures width 1, while Warp measures width 0.
Emoji ZWJ support
Compatibility of Warp with the Unicode Emoji ZWJ sequence table is 0.0% (1445 errors of 1445 sequences tested).
Sequence of an Emoji ZWJ Sequence, from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\U0001f3c3’ |
So |
2 |
RUNNER |
|
2 |
‘\U0001f3ff’ |
Sk |
2 |
EMOJI MODIFIER FITZPATRICK TYPE-6 |
|
3 |
‘\u200d’ |
Cf |
0 |
ZERO WIDTH JOINER |
|
4 |
‘\u2640’ |
So |
1 |
FEMALE SIGN |
|
5 |
‘\ufe0f’ |
Mn |
0 |
VARIATION SELECTOR-16 |
Total codepoints: 5
Shell test using printf(1),
'|'should align in output:$ printf "\xf0\x9f\x8f\x83\xf0\x9f\x8f\xbf\xe2\x80\x8d\xe2\x99\x80\xef\xb8\x8f|\\n12|\\n" 🏃🏿♀️| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while Warp measures width 7.
Variation Selector-16 support
Emoji VS-16 results for Warp is 0 errors out of 426 total codepoints tested, 100.0% success. All codepoint combinations with Variation Selector-16 tested were successful.
Variation Selector-15 support
Emoji VS-15 results for Warp is 158 errors out of 158 total codepoints tested, 0.0% success. Sequence of a WIDE Emoji made NARROW by Variation Selector-15, from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\U0001f3ae’ |
So |
2 |
VIDEO GAME |
|
2 |
‘\ufe0e’ |
Mn |
0 |
VARIATION SELECTOR-15 |
Total codepoints: 2
Shell test using printf(1),
'|'should align in output:$ printf "\xf0\x9f\x8e\xae\xef\xb8\x8e|\\n1|\\n" 🎮︎| 1|
Screenshot:
python wcwidth.wcswidth() measures width 1, while Warp measures width 2.
Standalone Regional Indicator support
Standalone Regional Indicator support of Warp is 0.0% (26 errors of 26 codepoints tested).
Sequence of a standalone Regional Indicator, from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\U0001f1f3’ |
So |
2 |
REGIONAL INDICATOR SYMBOL LETTER N |
Total codepoints: 1
Shell test using printf(1),
'|'should align in output:$ printf "\xf0\x9f\x87\xb3|\\n12|\\n" 🇳| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while Warp measures width 1.
Standalone Fitzpatrick modifier support
Standalone Fitzpatrick skin tone modifier support of Warp is 100.0% (0 errors of 5 codepoints tested).
Regional Indicator flag sequence support
Regional Indicator flag sequence support of Warp is 98.9% (3 errors of 262 sequences tested).
Sequence of a Regional Indicator flag sequence, from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\U0001f3f4’ |
So |
2 |
WAVING BLACK FLAG |
|
2 |
‘\U000e0067’ |
Cf |
0 |
TAG LATIN SMALL LETTER G |
|
3 |
‘\U000e0062’ |
Cf |
0 |
TAG LATIN SMALL LETTER B |
|
4 |
‘\U000e0073’ |
Cf |
0 |
TAG LATIN SMALL LETTER S |
|
5 |
‘\U000e0063’ |
Cf |
0 |
TAG LATIN SMALL LETTER C |
|
6 |
‘\U000e0074’ |
Cf |
0 |
TAG LATIN SMALL LETTER T |
|
7 |
‘\U000e007f’ |
Cf |
0 |
CANCEL TAG |
Total codepoints: 7
Shell test using printf(1),
'|'should align in output:$ printf "\xf0\x9f\x8f\xb4\xf3\xa0\x81\xa7\xf3\xa0\x81\xa2\xf3\xa0\x81\xb3\xf3\xa0\x81\xa3\xf3\xa0\x81\xb4\xf3\xa0\x81\xbf|\\n12|\\n" 🏴| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while Warp measures width 3.
Graphics Protocol Support
Warp supports the following graphics protocols: Kitty graphics.
Detection Methods:
Sixel and ReGIS: Detected via the Device Attributes (DA1) query
CSI c(\x1b[c). Extension code4indicates Sixel support,3ReGIS.Kitty graphics: Detected by sending a Kitty graphics query and checking for an
OKresponse.iTerm2 inline images: Detected via the iTerm2 capabilities query
OSC 1337 ; Capabilities.
Device Attributes Response:
Language Support
The following 95 languages were tested with 100% success:
(Jinan), (Yeonbyeon), Aja, Amarakaeri, Arabic, Standard, Assyrian Neo-Aramaic, Baatonum, Bamun, Belanda Viri, Bora, Catalan (2), Chickasaw, Chinantec, Chiltepec, Chinese, Gan, Chinese, Hakka, Chinese, Jinyu, Chinese, Mandarin (Beijing), Chinese, Mandarin (Guiyang), Chinese, Mandarin (Harbin), Chinese, Mandarin (Nanjing), Chinese, Mandarin (Simplified), Chinese, Mandarin (Tianjin), Chinese, Mandarin (Traditional), Chinese, Min Nan, Chinese, Wu, Chinese, Xiang, Chinese, Yue, Colorado, Dagaare, Southern, Dangme, Dari, Dendi, Dinka, Northeastern, Ditammari, Dzongkha, Evenki, Farsi, Western, Fon, French (Welche), Fur, Ga, Gen, Gilyak, Gumuz, Japanese, Japanese (Osaka), Japanese (Tokyo), Kabyle, Korean, Lamnso’, Lao, Lingala (tones), Maldivian, Maori (2), Mazahua Central, Mirandese, Mixtec, Metlatónoc, Mongolian, Halh (Mongolian), Mòoré, Nanai, Navajo, Nuosu, Orok, Otomi, Mezquital, Panjabi, Eastern, Panjabi, Western, Pashto, Northern, Picard, Pular (Adlam), Saint Lucian Creole French, Secoya, Seraiki, Shan, Shipibo-Conibo, Siona, South Azerbaijani, Tagalog (Tagalog), Tai Dam, Tamazight, Central Atlas, Tem, Thai, Thai (2), Tibetan, Central, Ticuna, Uduk, Urdu, Urdu (2), Veps, Vietnamese, Vietnamese (Han nom), Waama, Yaneshaʼ, Yiddish, Eastern, Yoruba, Éwé.
The following 23 languages are not fully supported:
lang |
n_errors |
n_total |
pct_success |
|---|---|---|---|
321 |
530 |
39.4% |
|
145 |
493 |
70.6% |
|
229 |
845 |
72.9% |
|
77 |
287 |
73.2% |
|
91 |
385 |
76.4% |
|
66 |
293 |
77.5% |
|
86 |
391 |
78.0% |
|
82 |
390 |
79.0% |
|
90 |
443 |
79.7% |
|
71 |
357 |
80.1% |
|
69 |
352 |
80.4% |
|
11 |
70 |
84.3% |
|
50 |
343 |
85.4% |
|
43 |
314 |
86.3% |
|
41 |
313 |
86.9% |
|
42 |
384 |
89.1% |
|
25 |
258 |
90.3% |
|
15 |
175 |
91.4% |
|
15 |
175 |
91.4% |
|
13 |
267 |
95.1% |
|
10 |
268 |
96.3% |
|
7 |
332 |
97.9% |
|
4 |
396 |
99.0% |
Javanese (Javanese)
Sequence of language Javanese (Javanese) from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\ua98f’ |
Lo |
1 |
JAVANESE LETTER KA |
|
2 |
‘\ua9ba’ |
Mc |
0 |
JAVANESE VOWEL SIGN TALING |
|
3 |
‘\ua9b4’ |
Mc |
0 |
JAVANESE VOWEL SIGN TARUNG |
Total codepoints: 3
Shell test using printf(1),
'|'should align in output:$ printf "\xea\xa6\x8f\xea\xa6\xba\xea\xa6\xb4|\\n12|\\n" ꦏꦺꦴ| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while Warp measures width 3.
Sanskrit
Sequence of language Sanskrit from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0915’ |
Lo |
1 |
DEVANAGARI LETTER KA |
|
2 |
‘\u094d’ |
Mn |
0 |
DEVANAGARI SIGN VIRAMA |
|
3 |
‘\u0924’ |
Lo |
1 |
DEVANAGARI LETTER TA |
|
4 |
‘\u093f’ |
Mc |
0 |
DEVANAGARI VOWEL SIGN I |
Total codepoints: 4
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xa4\x95\xe0\xa5\x8d\xe0\xa4\xa4\xe0\xa4\xbf|\\n12|\\n" क्ति| 12|
Screenshot:
Malayalam
Sequence of language Malayalam from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0d15’ |
Lo |
1 |
MALAYALAM LETTER KA |
|
2 |
‘\u0d3e’ |
Mc |
0 |
MALAYALAM VOWEL SIGN AA |
Total codepoints: 2
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xb4\x95\xe0\xb4\xbe|\\n12|\\n" കാ| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while Warp measures width 1.
Kannada
Sequence of language Kannada from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0c95’ |
Lo |
1 |
KANNADA LETTER KA |
|
2 |
‘\u0cbe’ |
Mc |
0 |
KANNADA VOWEL SIGN AA |
|
3 |
‘\u0c82’ |
Mc |
0 |
KANNADA SIGN ANUSVARA |
Total codepoints: 3
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xb2\x95\xe0\xb2\xbe\xe0\xb2\x82|\\n12|\\n" ಕಾಂ| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while Warp measures width 3.
Bengali
Sequence of language Bengali from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0995’ |
Lo |
1 |
BENGALI LETTER KA |
|
2 |
‘\u09be’ |
Mc |
0 |
BENGALI VOWEL SIGN AA |
Total codepoints: 2
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xa6\x95\xe0\xa6\xbe|\\n12|\\n" কা| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while Warp measures width 1.
Sanskrit (Grantha)
Sequence of language Sanskrit (Grantha) from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\U00011315’ |
Lo |
1 |
GRANTHA LETTER KA |
|
2 |
‘\U0001133e’ |
Mc |
0 |
GRANTHA VOWEL SIGN AA |
Total codepoints: 2
Shell test using printf(1),
'|'should align in output:$ printf "\xf0\x91\x8c\x95\xf0\x91\x8c\xbe|\\n12|\\n" 𑌕𑌾| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while Warp measures width 1.
Marathi
Sequence of language Marathi from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0915’ |
Lo |
1 |
DEVANAGARI LETTER KA |
|
2 |
‘\u094d’ |
Mn |
0 |
DEVANAGARI SIGN VIRAMA |
|
3 |
‘\u0924’ |
Lo |
1 |
DEVANAGARI LETTER TA |
|
4 |
‘\u093f’ |
Mc |
0 |
DEVANAGARI VOWEL SIGN I |
Total codepoints: 4
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xa4\x95\xe0\xa5\x8d\xe0\xa4\xa4\xe0\xa4\xbf|\\n12|\\n" क्ति| 12|
Screenshot:
Hindi
Sequence of language Hindi from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0915’ |
Lo |
1 |
DEVANAGARI LETTER KA |
|
2 |
‘\u094d’ |
Mn |
0 |
DEVANAGARI SIGN VIRAMA |
|
3 |
‘\u0924’ |
Lo |
1 |
DEVANAGARI LETTER TA |
|
4 |
‘\u093f’ |
Mc |
0 |
DEVANAGARI VOWEL SIGN I |
Total codepoints: 4
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xa4\x95\xe0\xa5\x8d\xe0\xa4\xa4\xe0\xa4\xbf|\\n12|\\n" क्ति| 12|
Screenshot:
Khmer, Central
Sequence of language Khmer, Central from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u1780’ |
Lo |
1 |
KHMER LETTER KA |
|
2 |
‘\u17d2’ |
Mn |
0 |
KHMER SIGN COENG |
|
3 |
‘\u178a’ |
Lo |
1 |
KHMER LETTER DA |
|
4 |
‘\u17c5’ |
Mc |
0 |
KHMER VOWEL SIGN AU |
Total codepoints: 4
Shell test using printf(1),
'|'should align in output:$ printf "\xe1\x9e\x80\xe1\x9f\x92\xe1\x9e\x8a\xe1\x9f\x85|\\n12|\\n" ក្ដៅ| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while Warp measures width 3.
Maithili
Sequence of language Maithili from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0915’ |
Lo |
1 |
DEVANAGARI LETTER KA |
|
2 |
‘\u094d’ |
Mn |
0 |
DEVANAGARI SIGN VIRAMA |
|
3 |
‘\u0924’ |
Lo |
1 |
DEVANAGARI LETTER TA |
|
4 |
‘\u093f’ |
Mc |
0 |
DEVANAGARI VOWEL SIGN I |
Total codepoints: 4
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xa4\x95\xe0\xa5\x8d\xe0\xa4\xa4\xe0\xa4\xbf|\\n12|\\n" क्ति| 12|
Screenshot:
Nepali
Sequence of language Nepali from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0915’ |
Lo |
1 |
DEVANAGARI LETTER KA |
|
2 |
‘\u094d’ |
Mn |
0 |
DEVANAGARI SIGN VIRAMA |
|
3 |
‘\u0924’ |
Lo |
1 |
DEVANAGARI LETTER TA |
|
4 |
‘\u093f’ |
Mc |
0 |
DEVANAGARI VOWEL SIGN I |
Total codepoints: 4
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xa4\x95\xe0\xa5\x8d\xe0\xa4\xa4\xe0\xa4\xbf|\\n12|\\n" क्ति| 12|
Screenshot:
Tamang, Eastern
Sequence of language Tamang, Eastern from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0915’ |
Lo |
1 |
DEVANAGARI LETTER KA |
|
2 |
‘\u094d’ |
Mn |
0 |
DEVANAGARI SIGN VIRAMA |
|
3 |
‘\u0924’ |
Lo |
1 |
DEVANAGARI LETTER TA |
|
4 |
‘\u093f’ |
Mc |
0 |
DEVANAGARI VOWEL SIGN I |
Total codepoints: 4
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xa4\x95\xe0\xa5\x8d\xe0\xa4\xa4\xe0\xa4\xbf|\\n12|\\n" क्ति| 12|
Screenshot:
Gujarati
Sequence of language Gujarati from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0a95’ |
Lo |
1 |
GUJARATI LETTER KA |
|
2 |
‘\u0acd’ |
Mn |
0 |
GUJARATI SIGN VIRAMA |
|
3 |
‘\u0a95’ |
Lo |
1 |
GUJARATI LETTER KA |
|
4 |
‘\u0abe’ |
Mc |
0 |
GUJARATI VOWEL SIGN AA |
Total codepoints: 4
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xaa\x95\xe0\xab\x8d\xe0\xaa\x95\xe0\xaa\xbe|\\n12|\\n" ક્કા| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while Warp measures width 3.
Magahi
Sequence of language Magahi from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0915’ |
Lo |
1 |
DEVANAGARI LETTER KA |
|
2 |
‘\u094d’ |
Mn |
0 |
DEVANAGARI SIGN VIRAMA |
|
3 |
‘\u0924’ |
Lo |
1 |
DEVANAGARI LETTER TA |
|
4 |
‘\u093f’ |
Mc |
0 |
DEVANAGARI VOWEL SIGN I |
Total codepoints: 4
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xa4\x95\xe0\xa5\x8d\xe0\xa4\xa4\xe0\xa4\xbf|\\n12|\\n" क्ति| 12|
Screenshot:
Bhojpuri
Sequence of language Bhojpuri from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0915’ |
Lo |
1 |
DEVANAGARI LETTER KA |
|
2 |
‘\u094d’ |
Mn |
0 |
DEVANAGARI SIGN VIRAMA |
|
3 |
‘\u0918’ |
Lo |
1 |
DEVANAGARI LETTER GHA |
|
4 |
‘\u094d’ |
Mn |
0 |
DEVANAGARI SIGN VIRAMA |
|
5 |
‘\u0918’ |
Lo |
1 |
DEVANAGARI LETTER GHA |
|
6 |
‘\u093f’ |
Mc |
0 |
DEVANAGARI VOWEL SIGN I |
|
7 |
‘\u094d’ |
Mn |
0 |
DEVANAGARI SIGN VIRAMA |
Total codepoints: 7
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xa4\x95\xe0\xa5\x8d\xe0\xa4\x98\xe0\xa5\x8d\xe0\xa4\x98\xe0\xa4\xbf\xe0\xa5\x8d|\\n12|\\n" क्घ्घि्| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while Warp measures width 4.
Telugu
Sequence of language Telugu from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0c15’ |
Lo |
1 |
TELUGU LETTER KA |
|
2 |
‘\u0c41’ |
Mc |
0 |
TELUGU VOWEL SIGN U |
|
3 |
‘\u0c02’ |
Mc |
0 |
TELUGU SIGN ANUSVARA |
Total codepoints: 3
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xb0\x95\xe0\xb1\x81\xe0\xb0\x82|\\n12|\\n" కుం| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while Warp measures width 3.
Sinhala
Sequence of language Sinhala from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0d9a’ |
Lo |
1 |
SINHALA LETTER ALPAPRAANA KAYANNA |
|
2 |
‘\u0dcf’ |
Mc |
0 |
SINHALA VOWEL SIGN AELA-PILLA |
Total codepoints: 2
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xb6\x9a\xe0\xb7\x8f|\\n12|\\n" කා| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while Warp measures width 1.
Tamil
Sequence of language Tamil from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0b95’ |
Lo |
1 |
TAMIL LETTER KA |
|
2 |
‘\u0bbe’ |
Mc |
0 |
TAMIL VOWEL SIGN AA |
Total codepoints: 2
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xae\x95\xe0\xae\xbe|\\n12|\\n" கா| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while Warp measures width 1.
Tamil (Sri Lanka)
Sequence of language Tamil (Sri Lanka) from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u0b95’ |
Lo |
1 |
TAMIL LETTER KA |
|
2 |
‘\u0bbe’ |
Mc |
0 |
TAMIL VOWEL SIGN AA |
Total codepoints: 2
Shell test using printf(1),
'|'should align in output:$ printf "\xe0\xae\x95\xe0\xae\xbe|\\n12|\\n" கா| 12|
Screenshot:
Chakma
Sequence of language Chakma from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\U00011107’ |
Lo |
1 |
CHAKMA LETTER KAA |
|
2 |
‘\U00011133’ |
Mn |
0 |
CHAKMA VIRAMA |
|
3 |
‘\U00011120’ |
Lo |
1 |
CHAKMA LETTER YYAA |
|
4 |
‘\U0001112c’ |
Mc |
0 |
CHAKMA VOWEL SIGN E |
Total codepoints: 4
Shell test using printf(1),
'|'should align in output:$ printf "\xf0\x91\x84\x87\xf0\x91\x84\xb3\xf0\x91\x84\xa0\xf0\x91\x84\xac|\\n12|\\n" 𑄇𑄳𑄠𑄬| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while Warp measures width 3.
Burmese
Sequence of language Burmese from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u1000’ |
Lo |
1 |
MYANMAR LETTER KA |
|
2 |
‘\u103b’ |
Mc |
0 |
MYANMAR CONSONANT SIGN MEDIAL YA |
|
3 |
‘\u1031’ |
Mc |
0 |
MYANMAR VOWEL SIGN E |
Total codepoints: 3
Shell test using printf(1),
'|'should align in output:$ printf "\xe1\x80\x80\xe1\x80\xbb\xe1\x80\xb1|\\n12|\\n" ကျေ| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while Warp measures width 3.
Mon
Sequence of language Mon from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u1007’ |
Lo |
1 |
MYANMAR LETTER JA |
|
2 |
‘\u103c’ |
Mc |
0 |
MYANMAR CONSONANT SIGN MEDIAL RA |
|
3 |
‘\u1031’ |
Mc |
0 |
MYANMAR VOWEL SIGN E |
Total codepoints: 3
Shell test using printf(1),
'|'should align in output:$ printf "\xe1\x80\x87\xe1\x80\xbc\xe1\x80\xb1|\\n12|\\n" ဇြေ| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while Warp measures width 3.
Khün
Sequence of language Khün from midpoint of alignment failure records:
# |
Codepoint |
Python |
Category |
wcwidth |
Name |
|---|---|---|---|---|---|
1 |
‘\u1a23’ |
Lo |
1 |
TAI THAM LETTER LOW KA |
|
2 |
‘\u1a55’ |
Mc |
0 |
TAI THAM CONSONANT SIGN MEDIAL RA |
|
3 |
‘\u1a6e’ |
Mc |
0 |
TAI THAM VOWEL SIGN E |
|
4 |
‘\u1a60’ |
Mn |
0 |
TAI THAM SIGN SAKOT |
Total codepoints: 4
Shell test using printf(1),
'|'should align in output:$ printf "\xe1\xa8\xa3\xe1\xa9\x95\xe1\xa9\xae\xe1\xa9\xa0|\\n12|\\n" ᨣᩕᩮ᩠| 12|
Screenshot:
python wcwidth.wcswidth() measures width 2, while Warp measures width 3.
DEC Private Modes Support
This Terminal does not appear capable of reporting about any DEC Private modes.
Kitty Keyboard Protocol
Warp supports the Kitty keyboard protocol.
# |
Flag |
Key |
State |
|---|---|---|---|
1 |
Disambiguate escape codes |
|
No |
2 |
Report event types |
|
No |
3 |
Report alternate keys |
|
No |
4 |
Report all keys as escape codes |
|
No |
5 |
Report associated text |
|
No |
Detection is performed by sending CSI ? u to query the current
progressive enhancement flags. A terminal that supports this protocol
responds with the active flags value.
XTGETTCAP (Terminfo Capabilities)
Warp does not support the XTGETTCAP sequence.
Text Sizing Protocol (OSC 66)
Warp does not support the Text Sizing protocol.
Truecolor Support
Warp supports 24-bit truecolor, detectable via:
XTGETTCAP (RGB capability): no
DECRQSS (truecolor probe): no
COLORTERM: yes (truecolor)
Warning
COLORTERM is an environment variable, not a terminal query. It is not forwarded over SSH without SendEnv / AcceptEnv configuration, so detection via COLORTERM alone may be unreliable on remote hosts.
OSC 52 Clipboard Support
Warp does not advertise OSC 52 clipboard support via DA1 extension 52 or XTGETTCAP Ms.
DA1 extension 52: no
XTGETTCAP Ms: no
Terminal Identification
Warp is identified as Warp version v0.2026.05.27.15.44.stable_01 (detected via XTVERSION).
XTVERSION (raw): Warp(v0.2026.06.03.09.49.stable_01)
XTVERSION: yes
XTGETTCAP TN: no
ENQ: no
TERM_PROGRAM: yes (WarpTerminal)
TERM: no (xterm-256color)
Reproduction
To reproduce these results for Warp, install and run ucs-detect with the following commands:
uvx ucs-detect --rerun data/warp.yaml
Test Performance
The test suite completed in 303.03 seconds (303s).
Mean CPU: 7.8%
Mean RSS: 445.5 MB
Total time: 303.0s
CPU usage during test execution for Warp.
RSS memory usage during test execution for Warp.
Test duration for Warp compared to all other terminals.
CPU % vs duration trade-off for Warp.