Chinese Institute of Blockchain research (CCID) recently published a new spreadsheet with assessment of modern blockchain technologies. It seems very accurate so I am republishing it on my steemit blog as a markdown table.
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image - u today
R | Blockchain | Basic-tech | Applicability | Creativity | Total Index |
---|---|---|---|---|---|
1 | EOS | 103,7 | 20,2 | 24,7 | 148,6 |
2 | TRON | 95,6 | 24,3 | 24,1 | 144 |
3 | Ethereum | 76,6 | 29,0 | 31,0 | 136,6 |
4 | Steem | 85,3 | 9,7 | 16,6 | 111,6 |
5 | Ontology | 81,3 | 23,3 | 5,7 | 110,3 |
6 | Lisk | 63,8 | 15,0 | 30,2 | 109 |
7 | BitShares | 84,5 | 15,0 | 9,6 | 109,1 |
8 | NEO | 69,3 | 26,0 | 11,3 | 106,6 |
9 | GXChain | 82,4 | 18,1 | 5,9 | 106,4 |
10 | Nebulas | 69,6 | 24,7 | 7,9 | 102,2 |
11 | Stellar | 67,9 | 21,5 | 12,4 | 101,8 |
12 | Bitcoin | 43,2 | 18,3 | 39,6 | 101,1 |
13 | Waves | 63,8 | 20,6 | 16,3 | 100,7 |
14 | Ark | 69,9 | 17,1 | 13,5 | 100,5 |
15 | NULS | 70,7 | 18,8 | 7,2 | 96,7 |
16 | Sia | 59,2 | 14,2 | 21,5 | 94,9 |
17 | Ripple | 70,4 | 12,7 | 10,7 | 93,8 |
18 | IOTA | 70,6 | 14,3 | 7,4 | 92,3 |
19 | Qtum | 62,6 | 21,1 | 8,3 | 92 |
20 | Monero | 60,7 | 10,6 | 19,5 | 90,8 |
21 | Stratis | 62,9 | 15,1 | 12,5 | 90,5 |
22 | Ethereum Classic | 69,0 | 18,1 | 3,1 | 90,2 |
23 | Komodo | 69,9 | 13,4 | 6,3 | 89,6 |
24 | NANO | 62,7 | 12,7 | 14,1 | 89,5 |
25 | Hcash | 67,1 | 15,2 | 6,1 | 88,4 |
26 | Dash | 55,3 | 21,9 | 11,2 | 88,4 |
27 | Cardano | 59,6 | 14,0 | 12,5 | 86,1 |
28 | Verge | 62,3 | 14,2 | 9,5 | 86 |
29 | Bitcoin Cash | 47,7 | 21,7 | 16,0 | 85,4 |
30 | Tezos | 51,7 | 16,4 | 16,9 | 85 |
31 | ZCash | 51,6 | 14,9 | 14,9 | 81,4 |
32 | Bytecoin | 60,9 | 13,0 | 2,7 | 76,6 |
33 | Litecoin | 45,8 | 10,5 | 16,0 | 72,3 |
34 | Decred | 49,9 | 12,2 | 8,8 | 70,9 |
35 | NEM | 50,7 | 17,1 | 2,0 | 69,8 |
- R = Rank.
Full name of the rating is: "CCID's Global Public Blockchain Technology Assessment Index". Rating is based on ABC Model v. 1.2.1. Published May 2019.
I would just like to tell you about last column. It's not having 100% same numbers as Chinese table. Seems that CCID used higher precision in reality other than the publication. But what I've done, is I've just make a total of all columns. The result is rarely different and if it differs, the difference is never more than 0.1 point. Also, the cryptocurrency names and places in the rating left the same as in Chinese document, so I don't see any huge error here.
I hope that's useful :)
See you,
Den Ivanov aka @sxiii